The Data Measures, Data Composites, and National Standards To Be Used in the Child and Family Services Reviews, 32969-32987 [06-5193]
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Federal Register / Vol. 71, No. 109 / Wednesday, June 7, 2006 / Notices
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[FR Doc. 06–5178 Filed 6–6–06; 8:45 am]
BILLING CODE 4184–01–M
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Administration for Children and
Families
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The Data Measures, Data Composites,
and National Standards To Be Used in
the Child and Family Services Reviews
AGENCY: Children’s Bureau,
Administration on Children, Youth and
Families, Administration for Children
and Families, Department of Health and
Human Services.
ACTION: Final notice of the data
measures, data composites, and national
standards to be used in the Child and
Family Services Reviews.
SUMMARY: On November 7, 2005, the
Administration for Children and
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Families (ACF) published a notice in the
Federal Register soliciting comment
regarding its proposal to replace the six
data measures used as part of the
assessment of State performance on the
Federal Child and Family Services
Review (CFSR) with six data composites
(70 FR 67479). Based on the results of
our data analyses and a review of
comments from the field, ACF made the
following decisions:
• The CFSR will use a State’s
performance on two individual data
measures as part of the assessment of
the State’s substantial conformity with
CFSR Safety Outcome 1—Children are,
first and foremost, protected from abuse
and neglect. A national standard is
established for each of these measures.
• The CFSR will use a State’s
performance on four data composites as
part of the assessment of the State’s
substantial conformity with CFSR
Permanency Outcome 1—Children have
permanency and stability in their living
situations. A national standard is
established for each of these data
composites.
This announcement presents the
following information:
• The decisions made by the
Children’s Bureau regarding use of data
composites for the Federal Child and
Family Services Review (CFSR);
• The composites and additional data
that will be used as part of the
assessment of a State’s substantial
conformity with the CFSR requirements;
and
• Descriptive statistics relevant to
each composite and measure, including
the score that will serve as the national
standard for the second round of the
CFSR.
Where relevant, the announcement
addresses key comments from the field
in response to the Federal Register
notice.
The announcement also includes the
following attachments:
Attachment A: Data to be included in
the CFSR State Data Profile.
Attachment B: Methodology for
Composite Construction.
FOR FURTHER INFORMATION CONTACT:
Contact: John Hargrove at
John.Hargrove@acf.hhs.gov, (202) 205–
8625.
SUPPLEMENTARY INFORMATION:
I. Background
The CFSR is ACF’s results-oriented
comprehensive monitoring system
designed to promote continuous
improvement in the outcomes
experienced by children and families
who come into contact with public
child welfare agencies. ACF developed
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the CFSR in response to a mandate in
the Social Security Amendments of
1994 (see section 1123A of the Social
Security Act) for the Department of
Health and Human Services to
promulgate regulations for reviews of
State child and family services programs
under titles IV–B and IV–E of the Social
Security Act. ACF’s final regulations on
the CFSR process, issued in 2000, can
be found at 45 CFR 1355.31 through
1355.37. Between fiscal year (FY) 2001
and FY 2004, ACF conducted the first
round of the CFSR. A ‘‘round’’ is
defined as a cycle of the CFSR that
includes every State, the District of
Columbia, and Puerto Rico.
Information for each CFSR came from
the following sources: (1) The Statewide
Assessment, (2) case-level reviews
conducted by a team of Federal and
State reviewers, (3) interviews with key
stakeholders, and (4) State data from the
Foster Care File of the Adoption and
Foster Care Analysis and Reporting
System (AFCARS) and the Child File of
the National Child Abuse and Neglect
Data System (NCANDS), or an
alternative data source approved by the
Children’s Bureau. Using this
information, the first round of the CFSR
assessed State performance on seven
outcomes and seven systemic factors.
For the most part, performance on the
seven outcomes was determined
through the results of the case reviews.
However, in the first round of the CFSR,
the assessment for two outcomes also
included a State’s performance on six
national data measures that ACF
adapted from measures developed for
the Annual Report to Congress on Child
Welfare Outcomes in response to the
requirements of section 479A of the
Social Security Act. ACF established
national standards for each of the six
data measures, all of which were
calculated from data reported by States
to NCANDS and AFCARS. ACF
described these six data measures and
the national standards in the preamble
to the final CFSR regulation, published
in the Federal Register (65 FR 4024–
4025). This same regulation provides
information on how ACF calculated the
national standards associated with each
of the six data measures. Subsequently,
ACF issued information memoranda on
the specific national standards that
would be used in the initial CFSR
implementation (see ACYF–CB–IM–00–
11 and ACYF–CB–IM–01–07).
The following performance measures
and national standards were used
during the first round of the CFSR as
part of the assessment of a State’s
substantial conformity with CFSR Safety
Outcome 1—Children are, first and
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foremost, protected from abuse and
neglect:
• Repeat maltreatment—Of all
children who were victims of
substantiated or indicated child abuse
and/or neglect during the first 6 months
of the reporting period, 6.1 percent or
less had another substantiated or
indicated report within a 6-month
period.
• Maltreatment of children in foster
care—Of all children who were in foster
care during the reporting period, 0.57
percent or less were the subject of
substantiated or indicated maltreatment
by a foster parent or facility staff
member.
The following performance measures
and national standards were used as
part of the assessment of a State’s
substantial conformity with CFSR
Permanency Outcome 1—Children have
permanency and stability in their living
situations:
• Timeliness of reunification—Of all
children who were reunified with their
parents or caretakers at the time of
discharge from foster care, 76.2 percent
or more were reunified in less than 12
months from the time of the latest
removal from home.
• Re-entry into foster care—Of all
children who entered foster care during
the reporting period, 8.6 percent or less
were re-entering foster care in less than
12 months of a prior foster care episode.
• Timeliness of adoption—Of all
children who exited foster care to a
finalized adoption, 32 percent or more
exited foster care in less than 24 months
from the time of the latest removal from
home.
• Placement stability—Of all children
who have been in foster care for less
than 12 months from the time of the
latest removal from home, 86.7 percent
or more have had no more than two
placement settings.
ACF views the CFSR as a dynamic
process. We made ongoing
improvements after each year of the first
round of reviews in response to our
experiences in the field and to
suggestions from State child welfare
agency administrators. After completion
of the first round in FY 2004, ACF
contracted with a consultant to study
the CFSR and make further suggestions
regarding potential revisions to the
process. To assist in this task, the
consultant convened a CFSR workgroup
including State child welfare agency
administrators, child welfare specialists,
and researchers. Based on input from
this workgroup, the consultant
presented a set of suggestions for ACF.
One suggestion was to replace the
existing CFSR single data measures for
which national standards were
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established with data composites that
incorporate a wider range of
performance areas relevant to a
particular child welfare domain. ACF
determined that making this change
would enhance the quality of the CFSR
for the following reasons:
• The recommendation is consistent
with our observations during the first
round of the CFSR that expanding the
scope of data pertaining to a particular
child welfare domain will provide a
more effective assessment of State
performance. For example, expanding
the scope of data pertaining to the
timeliness of reunification will address
various performance areas relevant to
this domain, including the permanency
of the reunification.
• Data composites will provide a
more holistic view of State performance
in a particular domain than a single
data measure can achieve. For example,
the current CFSR measure of timeliness
of adoptions considers the percentage of
children adopted within 24 months of
entering foster care, but not children’s
experiences with regard to the
timeframes between key points in the
adoption process, such as the time from
termination of parental rights (TPR) to a
finalized adoption.
• Data composites will ensure that
the data component of a State’s
performance with regard to a particular
domain will not depend on one
measure. For example, a State’s
performance regarding the data
composite for the domain of timeliness
to adoption may be uneven, with
performance higher in one area than in
another. However, overall performance
on the composite may be high. Thus, the
data composite will account for both the
strengths and weaknesses that a State
exhibits within a particular domain.
• Data composites are being used by
the Federal government to assess other
programs. For example, composite
measures are being developed and used
for the No Child Left Behind initiative.
In addition, composite measures have
been used to evaluate the performance
of hospitals in various health-related
domains.
II. Analysis and Decisions
ACF published a Federal Register
notice presenting proposed data
composites and performance areas for
each composite on November 7, 2005,
with a 30-day public comment period.
We received 66 letters from State and
local child welfare agencies, national
and local advocacy groups, researchers,
State and local courts, and national
associations representing groups of
practitioners. ACF’s final decisions
regarding the composites are presented
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below. These decisions are based on our
review of comments from the field, our
data analyses, and the principles and
objectives of the Social Security
Amendments of 1994 and the Adoption
and Safe Families Act (ASFA) of 1997.
A. ACF Will Replace the Existing Six
Data Measures Used for the First Round
of the CFSR With Four Data Composites
and Two Single Measures
The majority of respondents to the
Federal Register notice expressed
support for our proposal to use data
composites as part of the assessment of
a State’s substantial conformity with the
requirements of the CFSR. A few
respondents expressed concern about
the potential burden to the States
involved in revising their data systems
to provide data for the composites.
However, the composites will not
require States to revise their basic data
systems because all data necessary for
the composites come from existing
AFCARS or NCANDS data elements.
Also, because States submit the
NCANDS Child File on a voluntary
basis, the CFSR regulation allows us to
accept data from an alternative source
from those States that do not submit the
Child File to NCANDS. However, for the
second round of the CFSR, the use of
alternative data sources applies only to
measures calculated from data reported
to the NCANDS Child File. It does not
apply to measures calculated from data
reported to AFCARS.
A few respondents expressed concern
that the composite approach would
make it difficult for States to track their
own performance in specific areas and
to identify those areas where
improvements may be needed. To assist
States in tracking their performance on
the composites, we will provide them
with a State Data Profile that presents
information on all of the individual
performance areas included in the
composites as well as the composite
scores.1 The State Data Profile also will
include information pertaining to the
relative contribution (or weight) of a
variable to the composite. Attachment A
itemizes the data that will be included
in the State Data Profile to be provided
to each State. ACF will provide States
with the syntax used for establishing
each of the performance areas and
calculating the composite scores. In
addition, we will ensure that technical
assistance is available to States in
developing the tools necessary to track
their performance.
1 Several States requested that ACF continue to
report data pertaining to the six data measures used
in the first round of the CFSR. This information will
be provided in the State Data Profile.
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Although ACF initially intended to
replace the six data measures with six
data composites, we have decided to use
two single measures that are similar to
those used in the first round of the
CFSR to assess State performance with
regard to CFSR safety outcome 1—
Children are, first and foremost,
protected from abuse and neglect. We
made the decision not to develop safety
composites for the following reasons:
• Many respondents to the Federal
Register notice expressed concern about
the usefulness and appropriateness of
the new measures proposed for the
safety-related composites.
• A review of the data for the
measures revealed potential problems
with consistency in State reporting,
particularly with regard to how States
defined certain data elements.
• The results of the data analyses for
the composites did not provide strong
support for inclusion of some of the
measures proposed for the composite.
Additional information relevant to
our decision to eliminate particular
measures is provided in the section of
this Announcement pertaining to CFSR
Safety Outcome 1.
B. ACF Used Principal Components
Analysis To Develop the Composites
ACF identified and implemented the
methodology for establishing data
composites in consultation with an
internationally known expert
statistician. Our goal was to increase the
amount of pertinent information that
would be considered in assessing a
State’s performance with regard to
particular outcomes without increasing
the number of measures that would be
subject to a national performance
standard. We reviewed with our expert
consultant all possible statistical
methodologies and determined that a
principal components analysis was the
most appropriate data analysis method
for achieving our goal.
Principal components analysis is a
commonly used statistical technique for
reducing a large set of variables into a
smaller set by combining highly intercorrelated variables. Use of this analysis
is based on two basic psychometric
principles of measurement: (a) A test
with more questions is more reliable;
and (b) combining related scores into a
composite score results in a more
reliable and valid score than the
individual scores on which the
composite is based. Each variable in the
set is given a weight in accordance with
its relative importance to the overall
composite. (See attachment B for more
information on this.) These sets, or
principal components, usually are more
stable and easier to interpret than
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individual variables because they
incorporate several variables that are
related to one another but also capture
unique information.
The principal components analyses
conducted to generate the composites
were closely guided by our expert
consultant and were systematic and
conservative in nature. The analyses
generated valid and meaningful results
that exceed the minimum requirements
of acceptability for this analytical
technique. Decisions made regarding the
composites were based on the empirical
data resulting from the analyses.
Consequently, we believe that the
composites established will enhance the
assessment of State performance.
A few respondents questioned
whether a principal components
analysis methodology was appropriate
and requested an opportunity to review
the details of the methodology and to
provide comment on the
appropriateness of the methodology.
Because the methodology used is based
on a sound and widely accepted
statistical process, we will not be
submitting it for comment from the
field. Many of the concerns expressed
by respondents are the result of a lack
of understanding of principal
components analysis. The specifics
regarding these concerns are addressed
in attachment B, which also provides a
description of how the methodology
was used in generating the composites.
ACF understands that our composite
approach represents a new conceptual
framework for many States. Therefore,
we will conduct orientation sessions
with States in each ACF region to
familiarize them with the composites
and the methodology prior to
implementing the next round of the
CFSR. In addition, the data set used for
the principal components analyses and
the syntax used to construct the
composites will be made available to
States.
C. Wherever Possible and Appropriate,
the Data Composites Incorporate a
Combination of Longitudinal Measures
That Follow a Cohort of Children Over
Time, Measures That Capture Outcomes
Experienced by Children Exiting Foster
Care in a Given Year, and Measures
That Assess the Status of Children in
Foster Care Within a Particular
Timeframe
Several respondents recommended
that all measures in the data composites
should be longitudinal measures that
follow a cohort of children over time to
establish timeliness of permanency and
placement stability. These respondents
suggested that such measures,
particularly those that follow a cohort of
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children entering foster care, reflect a
more accurate picture of State
performance in these areas than do
other types of measures. However,
several other respondents expressed
support for maintaining the measures
used in the first round of the CFSR that
capture outcomes experienced by
children exiting foster care in a given
year. As one of these respondents noted,
‘‘I have heard and studied much of the
criticism (of the six indicators), but I
find much of the criticism to be without
merit. * * * the six indicators have
served us very well here in (State).’’
To address both perspectives, we have
included as many longitudinal measures
as possible in the composites along with
other types of measures. Some
respondents expressed concern that
AFCARS does not permit a longitudinal
analysis that crosses over fiscal years.
This is not true. We currently can and
have used AFCARS data to assess
children across years—i.e., children
entering or exiting foster care in one
year can be followed in subsequent
years. However, our ability to conduct
longitudinal analysis for the CFSR is
restricted somewhat by the timeframes
of the CFSR and, in particular, the need
to have data that reflect both a recent
level of performance and change in
performance during the period of
program improvement. For example, the
data used at the time of the second
round of the CFSR for a given State
cannot overlap with a State’s Program
Improvement Plan (PIP) implementation
period. Within the context of the CFSR
timeframes, it is not feasible to follow
children for longer than a 12-month
period and no measure can incorporate
more than four AFCARS reporting
periods (2 years).
Given this situation, most of the final
composites include a combination of
types of measures. ACF believes that
each type of measure contributes to an
understanding of State performance
from a particular perspective. We have
used the principal components analyses
to determine the relative contribution of
each type of measure to the overall
composite. (See attachment B for more
information on this issue.) Specific
information about decisions pertaining
to the types of measures incorporated in
each composite is provided in the
discussion of the individual composites.
D. ACF Will Use the Data Composites
for the Second Round of the CFSR
Many respondents to the Federal
Register notice, while indicating
support for the data composite
approach, proposed that ACF ‘‘pilot
test’’ this approach during the second
round of the CFSR and not implement
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this approach for assessment purposes
until a later round of the CFSR.
However, because the methodology
used for establishing the composites is
statistical rather than theoretical, the
concept of a pilot test is not applicable.
For example, the process of conducting
the CFSR was initially piloted in 14
States to test whether the procedures
(e.g., Statewide Assessment, case
reviews, and stakeholder interviews)
were appropriate and yielded the
desired information. Although this
process is valid for testing the utility of
procedures, it is not applicable to data
composites, which are derived from a
statistical analysis of data submitted by
the States to AFCARS.2 However, the
quality of the data submitted by the
States to these Federal systems may be
an issue for some States. ACF strongly
encourages States to assess the quality
of the data that they report to these
systems and to improve the quality if
any problems are identified. In addition,
ACF will continue to provide guidance
to States, either directly or through
ACF’s resource center, the National
Resource Center for Child Welfare Data
and Technology, in improving the
quality of the data submitted to
AFCARS.
Instead of a ‘‘pilot,’’ ACF conducted a
replication of the principal components
analyses on data from prior years to
examine whether the resulting
component structures exhibit stability
over time. The composites were
constructed with the focus on data from
fiscal year (FY) 2004. Data from FY 2003
were incorporated for the measures
involving long-term longitudinal
analysis. ACF conducted two
replications of the principal
components analysis on data reported to
AFCARS relevant to FY 2002/2003 and
FY 2001/2002. The results of this
replication indicate that there is a clear
and stable structure in the data to
support the use of the composites as a
meaningful component of the CFSR
assessment of State performance.
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E. ACF Will Establish National
Standards for the Two Independent
Measures and for Each of the Four
Composites
Many respondents to the Federal
Register notice recommended that ACF
not establish national standards for the
data indicators used in the next round
of the CFSR. They proposed that ACF
assess performance based on continuous
improvement on the data measures over
time within an individual State.
2 The composites pertain to permanency only and
therefore do not involve data from NCANDS.
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After consideration of this
recommendation, ACF decided to
maintain the practice of establishing
national standards for the CFSR and to
continue to use the standards as part of
the assessment of a State’s substantial
conformity with outcomes pertaining to
safety and permanency. The reasons for
this decision are the following:
• ACF initially established national
standards for each of the six CFSR data
measures as desired national goals for
the field with regard to achieving safety
and permanency for children. We
believe that setting national goals for the
field is an important part of ensuring
that Federal, State, and local agencies
remain focused on achieving the highest
level of results for children who come
into contact with the nation’s child
welfare systems.
• Because the national standards for
the first round of the CFSR were based
on the distribution of performance
across States, they are relative rather
than absolute. By setting the standard at
the 75th percentile (as adjusted for
sampling error and for normality of
distribution), we believe that the goals
represented by the standards are
realistic and attainable and that, by
establishing standards, ACF is
promulgating the expectation that States
make concerted efforts to achieve these
goals.
• The assessment of a State’s
performance on its individual PIP is,
and will continue to be, based on
change in an individual State’s
performance over time rather than on
whether the State meets the national
standard. With regard to the national
data measures, ACF has not required
that a State meet the national standard
in order to avoid financial penalties,
only that the State demonstrate an
agreed-upon amount of progress in
moving toward the standard.
The primary concern raised by
respondents to the Federal Register
notice that pertained to the issue of
national standards was that the
standards involve a comparison among
States that is not valid because
variations in State practices, statutes,
and policies often impact the
comparability of performance on a
particular measure. ACF acknowledges
that variations in policies and statutes
can affect comparability and has
attempted to address these variations
both in the new measures proposed for
the composites and in the use of
composites themselves.
The standards were calculated using
data pertaining to State performance in
FY 2004, with data from FY 2003
included when there is a measure
requiring a longitudinal analysis that
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spans fiscal years. When the
performance of individual States is
considered with regard to the national
standards, we will ensure that the State
data pertain to time periods that are
after completion of the PIP
implementation period.
F. ACF Will Not Establish Separate
National Standards Based on Variations
Across States With Regard to the Age or
Race/Ethnicity of Children in Foster
Care, or Whether the Reason for
Entering Foster Care Was Maltreatment
or the Child’s Behavior
Many respondents to the Federal
Register notice suggested that ACF
should assess performance on the
composites and the measures to
determine whether there are differences
in performance as a result of children’s
age, race/ethnicity, or reasons for
entering foster care and that the national
standards should be adjusted
accordingly. For example, respondents
noted that older children are more likely
to experience placement changes than
younger children, and therefore, States
that have a relatively high percentage of
older children entering the foster care
population could not be expected to
perform as well on measures of
placement stability as other States.
We are not establishing separate
performance standards for children of
different ages, races, or reasons for
entering foster care. Consistent with the
tenets of the Adoption and Safe
Families Act and with the best interests
of children, all children have the same
need for safety, placement stability, and
timely permanency. Rather, this type of
analysis is best left to the States to
further examine the characteristics of
their own child welfare populations as
part of their Statewide Assessment.
A few respondents to the Federal
Register notice also suggested that
rather than adjust the national
standards, the measures for the
permanency-related composites should
apply only to children who enter foster
care as a result of abuse or neglect. ACF
decided not to exclude children from
the measures who enter foster care for
reasons other than child maltreatment.
We believe that all children who are in
the custody of the State child welfare
agency and who are reported to
AFCARS share the same needs for
permanency and placement stability
regardless of their reason for entering
care.
III. Data Measures and Composites
In this section, we present the
measures and composites that will be
used in the next round of the CFSR. We
also identify and discuss the critical
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features of each measure and composite
and address key comments concerning
the measures and composites received
in response to the Federal Register
notice. Table 1 provides summary
information regarding all of the
composites, measures, and national
standards to be used in the second
round of the CFSR.
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A. CFSR Measures That Will Be Used as
Part of the Assessment of Substantial
Conformity With CFSR Safety Outcome
1—Children Are, First and Foremost,
Protected From Abuse and Neglect
Two individual measures rather than
composites will be used as part of the
assessment of substantial conformity
with CFSR Safety Outcome 1. These
measures are the following:
• Recurrence of maltreatment. Of all
children who were victims of
substantiated or indicated abuse or
neglect during the first 6 months of the
reporting year, what percent did not
experience another incident of
substantiated or indicated abuse or
neglect within a 6-month period?
• Maltreatment of children in foster
care. Of all children in foster care
during the reporting period, what
percent were not victims of a
substantiated or indicated maltreatment
by foster parents or facility staff
members?
Key Features of the Measures
These measures are similar to those
used in the first round of the CFSR. The
only difference is that the focus has
shifted from the occurrence of
maltreatment to the absence of
maltreatment. We made this change for
the following reasons:
• Respondents to the Federal Register
notice and others in the field
recommended that all data measures
address performance from a positive
perspective.
• The composite measures pertaining
to permanency and placement stability
are all in the same direction with higher
scores meaning higher levels of
performance. We believe that assessing
all data in the same direction will
simplify the interpretation of State
performance with regard to the national
data.
Although there was general support
from the field for the proposed measure
of recurrence of maltreatment, some
respondents suggested that the measure
be restricted to maltreatment recurrence
involving the same perpetrator and the
same type of abuse. ACF decided not to
make this change because children
should be protected from continued
maltreatment within a 6-month period
even if the perpetrator is the mother in
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one incident, for example, and the
father or grandmother in another
incident, or if the perpetrator is the
same but the maltreatment is neglect in
one incident and physical abuse in
another.
Respondents also questioned whether
and, if so, how the measure of
recurrence will incorporate
maltreatment allegations that are
referred for an ‘‘alternative response.’’
Alternative response usually refers to
the practice implemented by several
States in which a maltreatment
allegation that is believed to involve low
risk of harm to the child is referred to
an agency for an assessment to
determine whether the family is in need
of services. In these situations, the
allegation is not referred for a formal
child abuse and neglect investigation.
We determined that it is not possible to
include maltreatment allegations that
are referred for an alternative response
in the measure of maltreatment
recurrence because the majority of
States that implement this approach do
not make a disposition as to whether the
allegation is substantiated or indicated.
Although respondents to the initial
Federal Register notice also expressed
support for the measure of maltreatment
of children in foster care by foster
parents or facility staff members, some
suggested that the measure include
maltreatment by relative caregivers. It
already does this. The maltreatment in
foster care measure includes
perpetrators who are relative foster
parents, non-relative foster parents, and
group home or residential facility staff.
It does not include perpetrators who are
relative caregivers taking care of
children who are not in foster care.
NCANDS’s current definition of ‘‘foster
parent’’ is ‘‘an individual licensed to
provide a home for orphaned, abused,
neglected, delinquent, or disabled
children, usually with the approval of
the government or a social service
agency. This individual may be a
relative or a non-relative.’’
The final two measures to be
associated with the assessment of CFSR
Safety Outcome 1 represent those that
remained after we excluded the other
measures initially proposed in the
Federal Register notice. ACF decided to
exclude the other proposed measures
based on feedback from the field and the
results of our review of the data and our
data analyses. The measures excluded
and reasons for exclusion are described
below:
• Measure of multiple
unsubstantiated maltreatment
allegations. In the November 7th
Federal Register notice, ACF proposed
a safety-related measure assessing the
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performance area of multiple
unsubstantiated maltreatment reports.
This was based on the findings of
several research studies indicating that
many children who are the subject of
multiple unsubstantiated allegations
actually experience maltreatment.
However, almost all respondents
recommended eliminating this
performance area from the CFSR
assessment. They noted that the
measure is problematic because of State
variations in practices and procedures
relevant to substantiation. A particular
concern was that many States do not
differentiate in their dispositions
between unsubstantiated allegations and
allegations that are found to be
intentionally false or without merit.
Consequently, there would be no way to
exclude the latter types of allegations
from the assessment in all States.
• Measure of timeliness of initiating
investigations of maltreatment
allegations. In the Federal Register
notice, ACF proposed a measure of
timeliness of initiating investigations of
maltreatment allegations, with initiation
defined as establishing face-to-face
contact with the child who is the subject
of the allegation and with the family.
The measure was designed to address
the proposition that investigations that
are initiated quickly are more likely to
ensure the safety of children than
investigations that are not initiated
quickly. We decided to exclude this
measure primarily because the results of
our data analyses did not support its
inclusion and because it was not clear
from the data that States were defining
either the starting point (i.e., receipt of
the allegation) or the end point (i.e.,
initiation of investigation) of the
proposed measure in a consistent
manner. In addition, most respondents
expressed concern that such a measure
would result in the Federal government
setting policy for the States with regard
to timeliness of initiating an
investigation.3 However, because
timeliness of investigations will
continue to be part of the CFSR case
review assessment, we have decided to
provide data relevant to State
performance in this area in the State
Data Profile without an associated
national standard. We will require that
States address their performance in this
area in their Statewide Assessment.
• Measure of timeliness of
dispositions of maltreatment reports.
3 Some respondents raised concern that the
proposed timeliness to investigation measures did
not reflect the prioritization and classification
systems based on the perceived risk of harm to the
child that some States have developed for
establishing timeframes for responding to
maltreatment allegations.
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ACF initially proposed this measure
because of our concern that a child
welfare agency may not be able to
address the safety of the child fully until
an investigation is completed and a
disposition is made. We decided to
exclude the measure from the composite
analysis because the majority of
respondents indicated that State child
welfare agencies are able to provide the
necessary services and conduct
adequate safety and risk assessment
prior to a formal disposition, and that
often a disposition is a court decision
that is made after the agency has already
intervened with the family to ensure
safety and address risk issues.
• Measure of maltreatment of
children in foster care by their parents.
We proposed this measure as a result of
an unanticipated finding in our initial
data review that for many of the
children who were reported as being
victims of maltreatment when they were
in foster care, the perpetrator was
identified as the parent. However,
almost all respondents to the Federal
Register notice expressed concern that
because States report to NCANDS the
report date rather than the incident date
of a maltreatment allegation, the
measure would capture incidents of
maltreatment by parents that were
received while the child was in foster
care but that actually occurred before
the child entered foster care. We
initially attempted to address this
problem by excluding from the measure
reports received during the first 30 days
that a child was in foster care. However,
respondents did not agree that this
would be sufficient to resolve the
problem. Although NCANDS now
includes a data element that asks States
to report the date of the maltreatment
incident as well as the date the report
was received, States are not yet using
that data element on a consistent basis.
ACF has decided to report data on this
measure to the States in the State Data
Profile. We believe that States may not
be aware of the extent of this problem
and that by providing these data we will
encourage them to use the NCANDS
data element pertaining to the date of
the maltreatment incident to assess
whether children are victims of
maltreatment by their parents while
they are in foster care.
B. CFSR Composites and Measures That
Will Be Used as Part of the Assessment
of a State’s Substantial Conformity With
CFSR Permanency Outcome 1—
Children Have Permanency and
Stability in Their Living Situations
Four data composites will be used as
part of the assessment of State
performance in achieving CFSR
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Permanency Outcome 1. A composite
reflects the general domain that is
assessed by the data. The four
composites are: Permanency Composite
1: Timeliness and permanency of
reunifications; Permanency Composite
2: Timeliness of adoptions; Permanency
Composite 3: Achieving permanency for
children in foster care for extended
periods of time; and Permanency
Composite 4: Placement stability.
Information pertaining to construction
of the composites is provided in
attachment B.
Each composite comprises one or
more components, depending upon the
results of the data analysis. Components
are the general factors that contribute to
the composite score. If a composite has
two components, each one contributes
50 percent to the composite score. If a
composite has three components, each
one contributes 33.3 percent to the
composite score.
Each component comprises one or
more measures. The measures provide
the actual data for the analysis. The
contribution of each measure (also
called the weight) to the component
score is determined by the principal
components analysis and is presented in
attachment B. The general structure of
each composite with regard to the
number of components and the number
of measures, a summary of the data for
each measure, and the national
standards are presented in table 1.
1. Permanency Composite 1: Timeliness
and Permanency of Reunifications
The principal components analysis of
the measures proposed for this
composite yielded a composite
comprised of two components. One
component pertains to timeliness of
reunifications. This component includes
three measures. The other component
pertains to the permanency of
reunifications and includes one
measure. Each component has a unique
score and contributes 50 percent to the
final composite score. Information
regarding the contributions of
individual measures to the component
score is provided in attachment B.
Composite scores represent the
conversion of z-scores to a scale ranging
from 50 to 150.
Component 1: Timeliness of
Reunification
For the CFSR data measures,
reunification occurs if the child is
reported to AFCARS as discharged from
foster care and the reason for discharge
is either ‘‘reunification with parents or
primary caretakers’’ or ‘‘living with
other relatives.’’ The score for the
timeliness of reunification component
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of Permanency Composite 1 was derived
from State performance on the following
measures:
• Of all children discharged from
foster care to reunification in FY 2004
who had been in foster care for 8 days
or longer, what percent were reunified
in less than 12 months from the date of
the latest removal from home? In
calculating this measure, the following
children are included in the numerator:
(1) Children who were discharged from
foster care to a reunification in less than
12 months from the date of removal
from home; and (2) children who were
discharged from foster care to a
reunification who were reported to
AFCARS as being placed in a Trial
Home Visit in less than 11 months from
the date of removal from the home and
who remained in that placement until
discharge from foster care to
reunification.
• Of all children exiting foster care to
reunification in 2004 who had been in
foster care for 8 days or longer, what
was the median length of stay in months
from the date of the most recent entry
into foster care until the date of
reunification? For this measure, the
length of stay in foster care of a
particular child was assessed in two
ways: (1) The length of stay in months
from the date of removal from the home
to the date of discharge from foster care
to reunification; or (2) the length of stay
in months from the date of removal from
the home to the date that the child was
reported to AFCARS as being placed in
a Trial Home Visit, if the trial home visit
lasted longer than 30 days and was the
last placement setting before the child’s
eventual discharge from foster care. The
score for this measure was adjusted to
reflect a positive direction with higher
scores indicating higher performance.
This is explained further in attachment
B.
• Of all children entering foster care
for the first time in the second 6 months
of FY 2003 who remained in foster care
for 8 days or longer, what percent were
reunified in less than 12 months of the
date of entry into foster care? In
calculating this measure, the following
children are included in the numerator:
(1) Children who entered foster care in
the second 6 months of FY 2003 who
were discharged from foster care to
reunification in less than 12 months
from the date of entry into foster care;
and (2) children who entered foster care
in the second 6 months of FY 2003 who
were reported to AFCARS as being
placed in a Trial Home Visit in less than
11 months from the date of entry into
foster care and remained in the trial
home visit until discharge to
reunification.
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The contribution (weight) of each of
these measures to the component score
is determined by the coefficient
resulting from the principal components
analysis. The actual score is multiplied
by the coefficient to achieve the actual
score. This is explained further in
attachment B.
Component 2: Permanency of
Reunification
The score for the permanency of
reunification component of this
composite was derived from State
performance on the following measure:
• Of all children exiting foster care to
reunification in FY 2003, what percent
re-entered foster care in less than 12
months?
As noted above, the score for this
measure contributes 50 percent to the
final composite score. The actual score
for this measure was adjusted to reflect
performance in a positive direction so
that a higher score reflects higher
performance. This is explained further
in attachment B.
Key Features of the Components and
Measures
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Adjustments to the Measures
As indicated in the information
above, all measures assessing the
timeliness of reunification component
are adjusted to exclude children who
were not in foster care for 8 days or
longer. The calculation of the measures
also is adjusted to include children who
are placed in a trial home visit prior to
discharge from foster care to
reunification if the trial home visit
meets specific conditions (as noted in
the description of the calculation of the
measures above). Most respondents to
the Federal Register notice who
commented on these adjustments
expressed support for them.
ACF proposed that the measure of
timeliness of reunification should
include only children who were in
foster care for 8 days or longer in order
to address variation in State practices
and policies concerning the placement
of children in very short term foster
care. We believe that for the most part,
the kinds of case practices and agency
efforts necessary to achieve a timely
reunification for a child who has been
removed from home and placed in foster
care are not usually applicable for these
very short-term placements. Initially, we
also proposed a measure that required
that a child be in foster care for 30 days
or longer in order to be included in the
analysis. This measure was eliminated
from the composite after the principal
components analysis revealed a very
high correlation between the 30-day and
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8-day adjustment measures, suggesting
that the measures capture the same
information. In addition, there was more
support among respondents to the
Federal Register notice for the 8-day
measure than there was for the 30-day
measure. To assist States in
understanding how this adjustment
impacts their performance, we will
provide data in the State Data Profile
regarding the percentage of children
entering foster care in a fiscal year who
are discharged from foster care in less
than 8 days after the date of removal
from the home.
ACF initially proposed the trial home
visit adjustment to the measures of
timeliness of reunification in order to
address variations in State policy
regarding returning children to their
families (parents, relatives, or other
caretakers) for a period of time before a
discharge from foster care. This practice
often is referred to as ‘‘physical
reunification’’ to distinguish it from a
reunification in which custody is
transferred to the parents or relatives.
For the most part, the purpose of this
practice is to monitor and assist families
in the reintegration process. This
practice may be required in State
statute, written into agency policy, or
reflect standard case practice in a State.
Many respondents recommended that
for purposes of the CFSR, ACF should
consider ‘‘physical reunification’’ as
equivalent to a discharge from foster
care to reunification. We are unable to
do this because the CFSR data profile
considers children as reunified only if
there is a discharge from foster care and
if the discharge reason reported to
AFCARS is ‘‘return to family’’ or ‘‘live
with relatives.’’ Once discharged, the
child is no longer reported to AFCARS,
unless the child re-enters foster care.
There is no data element in AFCARS
that would allow us to know
specifically that a child has been
physically reunified.
We believe that the trial home visit
adjustment we have made to the
measures of timeliness of reunification
captures information about the time in
foster care of most children who were
physically reunified prior to an actual
discharge from foster care. States that
return children to their families prior to
discharge usually report them as being
in a ‘‘Trial Home Visit,’’ which is one
of the placement categories in AFCARS,
although they may not actually consider
the placement a ‘‘trial.’’ Through a
review of the data, we determined that
a trial home visit placement of longer
than 30 days that resulted in an
eventual discharge to reunification
captures the vast majority of instances
that may be considered ‘‘physical
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reunification.’’ Therefore, we
incorporated into the measure the time
span from the date of entry into foster
care to a placement in a Trial Home
Visit (as reported in AFCARS) that was
longer than 30 days and that was the
final placement before the child was
discharged from foster care with a
discharge reason of return to family or
live with relatives.
Timeframe for Reunification
Several respondents expressed
concern that most of the measures
proposed for this composite continue to
focus on 12 months as the appropriate
time period for assessing timeliness of
reunification. These respondents
suggested that a 12-month timeframe is
not sufficient in many cases to achieve
reunification, particularly for families in
which parental substance abuse was a
key reason for a child’s removal from
the home. They noted that 12 months is
not sufficient for a parent to receive and
complete substance abuse treatment
services. These respondents
recommended that the timeframe be
extended to either 18 or 24 months to
reflect the reality of many of the families
whose children are in foster care.
ACF acknowledges that it is not
always feasible or desirable for all
children to be reunified with their
families in less than 12 months and we
have no expectation that this goal will
be accomplished for 100 percent of the
children who are eventually reunified.
However, we believe that the focus of
the measure on reunifications occurring
in less than 12 months emphasizes the
responsibility of child welfare agencies
to return children to safe homes as
quickly as possible. This includes
working quickly and intensively with
parents with difficult issues such as
substance abuse to address the problems
that resulted in the child’s removal from
home. In addition, we have
incorporated a measure of median
length of stay in foster care to
reunification that does not specify a 12month timeframe.
Inclusion of Three Measures in the
Timeliness of Reunification Component
Several respondents to the Federal
Register notice suggested that the
measure of reunification that follows an
entry cohort of children is sufficient to
capture State performance with regard
to timeliness of reunification. They
expressed the opinion that other
measures of timeliness are not
necessary, and in fact, are not valid in
assessing timeliness. From the
beginning of this process, ACF
determined that the decision regarding
the measures to be incorporated in the
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composite would be based primarily on
the empirical results of the principal
components analyses. For the timeliness
of reunification component, the results
of the analysis revealed that, although
there is overlapping information, each
of the three measures chosen for the
composite makes a substantial
contribution to explaining the variation
in performance regarding timeliness (see
attachment B for the results of the
analysis). For example, the entry cohort
measure only captures information
about children who enter foster care in
the second 6 months of the year who are
reunified in less than 12 months of the
time of entry into foster care. It does not
provide information about what
happens to the children who are not
reunified in that time frame. As
indicated in table 1, the median across
States for the percentage of children
entering foster care in the second six
months of a fiscal year who are
reunified in less than 12 months is 35.1
percent. This indicates that there are
substantial numbers of children who are
not reunified in less than 12 months of
entering foster care. Although no
measure is ideal, we believe that by
combining all three measures in the
timeliness of reunification component
we are able to incorporate a broader
picture of State performance with regard
to reunifying children in a timely
manner than we are able to capture with
any single measure.
We acknowledge, however, that an
entry cohort approach would be able to
capture a wider range of information if
each entry cohort for each year could be
followed for several years. Although the
timeframe for the CFSR precludes this
type of analysis, it is possible for a State
to use a multiple year entry cohort
analysis to assess its own performance
and progress. We also are aware that
there are statistical procedures available
to estimate the percentage of children
entering foster care who are likely to be
reunified within various timeframes.
However, because the CFSR can result
in penalties for a State, ACF determined
that estimates of performance with
regard to achieving particular outcomes
are not appropriate. Most respondents to
the Federal Register notice agreed with
this determination and did not want the
CFSR to use measures requiring
statistical projections.
Inclusion of a Measure of Foster Care
Re-Entry As Part of the Reunification
Composite
As noted in the Federal Register
notice, ACF proposed that State
performance with regard to children reentering foster care in less than 12
months of a prior foster care episode
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would be incorporated into the
composite assessing the timeliness and
permanency of reunification. In the first
round of the CFSR, the re-entry measure
was assessed separately from the
timeliness of reunification measure.
Although ACF believes that it is
important to reunify children with their
families as quickly as possible, we also
believe that children should not be
reunified until sufficient changes are
made to prevent the child being
removed from the home again. The
majority of respondents supported the
inclusion of a measure of foster care reentry as part of a single composite
assessing the timeliness and
permanency of reunification.
In addition, the measure of foster care
re-entry that was used in the first round
of the CFSR has been revised to reflect
a longitudinal analysis. The new
measure follows children who exited
foster care to reunification in one year
to identify the percentage who re-enter
in less than 12 months of the time of
exit. All respondents commenting on
this measure indicated support for this
change.
2. Permanency Composite 2: Timeliness
of Adoptions
The principal components analysis of
the performance measures proposed for
the timeliness of adoption composite
yielded three components. One
component pertains to the timeliness of
adoptions of children exiting foster care
to adoption. The second component
assesses progress toward adoption of a
cohort of children who have been in
foster care for 17 months or longer and
therefore meet the ASFA time-in-foster
care requirements regarding the State
filing for a termination of parental rights
and pursuing adoption unless there is
an exception.4 This may be found in
section 475(5)(E) and (F) of the Social
Security Act. The third component
pertains to the timeliness of adoptions
of a cohort of children for who are
‘‘legally free’’ for adoption. Legally free
means that there is a termination of
4 ASFA requires State child welfare agencies to
file a petition to terminate parental rights and
pursue adoption for a child who has been in foster
care for 15 of the most recent 22 months, unless an
exception exists. A 17-month rather than a 15month timeframe was chosen for the measure
because, in accordance with ASFA, a child is
considered to have ‘‘entered foster care’’ (for
purposes of starting the clock for the 15 of 22
months) on the earlier of:
(1) the first judicial finding that the child has
been subjected to abuse and neglect, or
(2) the date that is 60 days after the date on which
the child is removed from the home.
The 17 month time frame in the measure is used
because AFCARS does not collect information
pertaining to the date of the first judicial finding.
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parental rights for each of the child’s
living parents.
Each component has a unique score
and each contributes 33.3 percent to the
final composite score. The contribution
of the individual measures to the score
for each component is determined by
the results of the principal components
analysis, as explained further in
attachment B. Data pertaining to the
composite score and individual
measures are presented in table 1.
Component 1. Timeliness of Adoptions
of Children Exiting Foster Care
The score for the component
pertaining to timeliness of adoptions of
children exiting foster care was derived
from performance on the following
measures:
• Of all children who were
discharged from foster care to a
finalized adoption in FY 2004, what
percent was discharged in less than 24
months from the date of the latest
removal from the home?
• Of all children who were
discharged from foster care to a
finalized adoption in FY 2004, what was
the median length of stay in foster care
(in months) from the date of removal
from the home to the date of discharge?
The actual score for this measure was
adjusted to reflect performance in a
positive direction so that a higher score
reflects higher performance. This is
explained further in attachment B.
The contribution of each of these
measures to the component score is
provided in attachment B.
Component 2. Progress Toward
Adoption of Children Who Have Been
in Foster Care for 17 Months or Longer
The score for the component assessing
progress toward adoption of a cohort of
children who meet the ASFA time-infoster care requirements was derived
from performance on the following
measures:
• Of all children in foster care on the
first day of FY 2004 who were in foster
care for 17 continuous months or longer,
what percent was discharged from foster
care to a finalized adoption before the
end of the fiscal year?
• Of all children in foster care on the
first day of FY 2004 who were in foster
care for 17 continuous months or longer,
what percent became legally free for
adoption in less than 6 months from the
beginning of the fiscal year?
The contribution of each of these
measures to the component score is
provided in attachment B.
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Component 3: Timeliness of Adoptions
of Children Who Are Legally Free for
Adoption
The score for the component assessing
timeliness of adoptions for children
who are legally free for adoption was
derived from performance on the
following measure:
• Of all children who became legally
free for adoption during FY 2003, what
percent were discharged from foster care
to a finalized adoption in less than 12
months of becoming legally free?
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Key Features of Components and
Measures
The timeliness of adoption composite
does not include an entry cohort
measure.
Several respondents to the Federal
Register Announcement expressed
concern that the proposed timeliness of
adoptions composite did not include an
entry cohort measure—that is, a
measure that follows children
longitudinally from the date of entry
into foster care to the date of the
finalized adoption. As noted in the
November 7th Announcement, in
determining appropriate measures to
test for the composite, our review of the
data indicated that an entry cohort
approach to assessing the timeliness of
adoptions is not feasible within the
timeframes of the CFSR. The reasons for
this, which were indicated in the
Federal Register notice, are the
following:
• An extensive timeframe is required
to follow a cohort of children from entry
into foster care to a finalized adoption
and the timeframe is not consistent with
the CFSR timeframes. For example, in
following a cohort of children entering
foster care in FY 2001, meaningful data
pertaining to adoptions did not emerge
until 3 years after the entry year.
• Because not all children entering
foster care will be adopted, and because
the number of children waiting to be
adopted changes each year, it is not
possible to establish a stable
denominator for an entry cohort
measure pertaining to timeliness of
adoptions. In following the FY 2001
cohort, for example, we found that the
denominator for assessing adoptions
changed on an ongoing basis as children
in the original cohort were reunified or
exited foster care for other reasons.
• Although it is possible to apply
statistical methods to historical data
and estimate the ‘‘likelihood’’ of
children who enter foster are in a given
year being adopted within particular
timeframes, ACF cannot use statistical
projections to assess CFSR performance
because of the potential for financial
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penalties associated with CSFR
performance.
A few respondents suggested that the
assessment of timeliness of adoptions
used by the CFSR will not be
meaningful without an entry cohort
measure. However, we believe that the
measures and components for this
composite that resulted from the
principal components analysis provide
a comprehensive picture of State
performance with regard to the
timeliness of adoption and capture
meaningful information. Furthermore,
we believe that the three longitudinal
measures of progress toward adoption
that were incorporated into the
composite follow a cohort of children
but have a more stable denominator
than an entry cohort measure and a
timeframe that is consistent with the
CFSR.
Measures of Timeliness of Adoption of
Children Discharged From Foster Care
to a Finalized Adoption
The measure assessing the percent of
adoptions occurring in less than 24
months of a child’s entry into foster care
is identical to the adoption-related data
measure used in the first round of the
CFSR. Support for this measure from the
field was mixed. Some respondents
expressed strong support for the
measure, while others suggested that it
be replaced by an entry cohort measure.
Respondents expressed similar
differences of opinion regarding the
measure of the median length of stay of
children discharged from foster care to
adoption. In general, the measures are
intended to focus on timeliness of
adoption by considering children who
have already experienced that outcome.
One measure does this by focusing on
a specific timeframe (i.e., 24 months),
while the other addresses the range of
possible time periods, with a focus on
the median time in foster care. The
results of the principal components
analysis indicate that taken together,
these two measures account for a large
percentage of the variation in State
performance with regard to the
timeliness of adoptions of a cohort of
children who have exited foster care to
adoption.
Longitudinal Measures of a Cohort of
Children Who Have Been in Foster Care
for 17 Months or Longer
The two measures that follow the
progress toward adoption of a cohort of
children who have been in foster care
for 17 months or longer are intended to
address the ASFA time-in-foster care
requirement for States to file for a
termination of parental rights and
pursue adoption unless there is an
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exception. Several respondents to the
Federal Register notice suggested that
many children who have been in foster
care for 17 months or longer will exit
foster care to a permanency option other
than adoption or will meet the
exceptions noted in ASFA. They
recommended, therefore, that these
measures be limited to children who
have a case goal of adoption.
After consideration of this request,
ACF decided to maintain the
denominator for these measures as all
children in foster care for 17 months or
longer at the start of the fiscal year. We
acknowledge that many of the children
in foster care for 17 months or longer at
the start of the fiscal year may be
discharged from foster care with a
discharge reason other than adoption. In
addition, we know that some children
who are in foster care for 17 months or
longer are likely to meet the criteria for
an exception to the ASFA requirement.
However, if we include in the measure
only children who have a goal of
adoption reported to AFCARS, we will
miss those children who have other
goals, but for whom adoption needs to
be considered because of the length of
time they have been in foster care and
because they do not meet the criteria for
an exception. Also, if we include in the
measure only children who have a goal
of adoption reported to AFCARS, we
will miss those children for whom the
agency is working toward adoption, but
has not yet reported a goal change to
AFCARS.
The results of our data analyses
indicate that the percentages regarding
State performance on these measures are
sufficiently low to ensure that States are
able to be flexible with regard to
meeting the unique needs of the
children they serve. In fact, very small
percentages of children in care for 17
months or longer at the start of the fiscal
year become legally free for adoption
within 6 months (median = 9.0 percent)
or are adopted by the end of the fiscal
year (median = 18.0 percent). As with
all other data measures used for the
CFSR, there is no expectation that a
State achieve a particular goal for 100
percent of the children who are
included in the denominator of a
specific measure. However, ACF
believes that the ASFA requirement
regarding the State filing a TPR and
pursuing adoption, unless there is an
exception, reflects a national concern
that State child welfare agencies make
concerted efforts to ensure that children
who cannot be reunified are legally
freed for adoption and adopted as
quickly as possible.
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Longitudinal Measure of the Percent of
Children Who Become Legally Free for
Adoption in a Given Year Who Are
Adopted in Less Than 12 Months of
Becoming Legally Free
Although respondents to the initial
Federal Register notice generally
supported this measure, a few expressed
concerns about the accuracy of
information reported to AFCARS
regarding termination of parental rights.
Our review of the data indicated that
there are a few States that do not appear
to report information about termination
of parental rights to the AFCARS Foster
Care File, or who report this information
for only a very few children. However,
most States appear to be reporting this
information fairly consistently, although
they may not be reporting it in all
instances. We believe that the problem
of inconsistencies can be resolved by
States improving their reporting to
AFCARS on the data elements
pertaining to termination of parental
rights.
rwilkins on PROD1PC63 with NOTICES
3. Permanency Composite 3: Achieving
Permanency for Children in Foster Care
The principal components analysis of
the performance measures proposed for
the composite addressing achieving
permanency for children yielded two
components. One component pertains to
achieving permanency for children in
foster care for long periods of time, and
the other pertains to the issue of
children growing up in foster care and
exiting to emancipation. A State’s score
for each component contributes 50
percent to the State’s total score for this
composite. As noted for the other
composites, the scores for the individual
components are derived from the
contribution of each of the measures to
the component, as determined by the
coefficient resulting from the principal
components analysis.
Component 1: Achieving Permanency
for Children in Foster Care for Extended
Periods of Time
The score for the component
pertaining to achieving permanency for
children in foster care for long periods
of time was derived from performance
on the following measures:
• Of all children who were
discharged from foster care in FY 2004
who were legally free for adoption (i.e.,
there was a TPR for each living parent),
what percent were discharged to a
permanent home prior to their 18th
birthday, with a permanent home
defined as having a discharge reason of
adoption, reunification (including live
with relative), or guardianship?
• Of all children who were in foster
care for 24 months or longer on the first
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day of FY 2004, what percent were
discharged from foster care to a
permanent home prior to their 18th
birthday and by the end of the fiscal
year?
Component 2: Children Growing Up in
Foster Care
The score for the component
addressing children growing up in foster
care was derived from performance on
the following measure:
• Of all children who were
emancipated from foster care or reached
their 18th birthday while in foster care,
what percent had been in foster care for
3 years or longer?
In AFCARS, emancipation is defined
as ‘‘the child reached majority according
to State law by virtue of age, marriage,
etc.’’ The actual score for this measure
was adjusted to reflect performance in a
positive direction so that a higher score
reflects higher performance. This is
explained further in attachment B.
Key Features of the Composite,
Components, and Measures
Inclusion of Guardianship in the
Assessment of Achieving Permanency
A key feature of this component is
that guardianship is included as one of
the permanency options in two of the
measures. Several respondents to the
November 7th Federal Register notice
expressed concern that the CFSR data
measures do not assess State
performance with regard to achieving
guardianship as a permanency option.
In response to this concern, ACF
analyzed the data for guardianship and
found that, nationally, only a very small
percentage of children are discharged
from foster care to guardianship. In
several States, no children are
discharged from foster care to
guardianship, suggesting that
guardianship is not a permanency
option in these States. These small
numbers did not permit a separate
composite or measure focusing on
timeliness of achieving guardianship.
However, because we recognize that
many States have made concerted
efforts to achieve permanency for
children through guardianship, we
included guardianship as a permanency
option in the two measures that assess
achieving permanency for children.
Longitudinal Analysis of a Cohort of
Children in Foster Care for 24 Months
or Longer
Many respondents expressed concern
that most of the existing measures
pertaining to adoption and reunification
do not capture general permanency
information for children in foster care
for a relatively long period of time. In
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response to this concern, ACF
developed a measure to assess
discharges to permanency of children in
foster care for 24 months or longer. The
24 month period was chosen because,
nationally, about 50 percent of the
children in foster care on any given day
have been in foster care for about 2
years or longer. The new measure
allows an assessment of what happens
to these children in a 12-month time
period.
Addressing Concerns Regarding ‘‘Legal
Orphans’’
The measure of achieving
permanency for children who are
discharged from foster care and who
were legally free for adoption at the time
of discharge addresses the concern of
the field that by pursuing termination of
parental rights for children who have
been in foster care for 15 of the most
recent 22 months, the field may be
creating ‘‘legal orphans,’’ that is,
children who have no legal parents and
for whom no permanent home is found.
The data for this measure suggest that
the vast majority of children who are
discharged from foster care prior to their
18th birthday and who are legally free
for adoption are discharged to a
permanent home (including
guardianship, adoption, and
reunification). However, despite the
large percentages, ACF decided to
maintain the measure because it is
important for States to make concerted
efforts to ensure permanency for all
children for whom a termination of
parental rights has been granted for each
living parent.
Addressing the Issue of Children
Emancipated From Foster Care After
Many Years in Foster Care
One objective of ASFA was to ensure
that child welfare agencies make
concerted efforts to ensure that children
do not spend many of their childhood
years in foster care, only to leave foster
care without having found a permanent
home. Our initial measure to address
this concern focused on the percentage
of children emancipated from foster care
or reaching their 18th birthday while in
foster care who entered foster care when
they were age 12 or younger. However,
a few respondents noted that this
measure was more likely to reflect the
variation among States with regard to
the ages of children at the time of entry
into foster care than it was to capture
the general issue of children growing up
in foster care. In response to this
concern, we revised the measure to
focus on the length of time in foster care
of children emancipated from foster care
rather than the age at entry into foster
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care. Due to our criteria of having been
in foster care for 3 years or longer, the
revised measure excludes children who
exit to emancipation who entered foster
care at approximately age 15 or older.
This addresses a large portion of the
variation among States with regard to
the age of children at the time of entry
into foster care.
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4. Permanency composite 4: Placement
stability
The principal components analysis
for this composite yielded one
component that incorporates the
following three measures:
• Of all children in foster care in FY
2004 who were in foster care for 8 days
or longer and less than 12 months, what
percent had two or fewer placement
settings?
• Of all children in foster care in FY
2004 who were in foster care for at least
12 months but less than 24 months,
what percent had two or fewer
placement settings?
• Of all children in foster care in FY
2004 who were in foster care for 24
months or longer, what percent had two
or fewer placement settings?
Data pertaining to the composite score
and individual measures are presented
in table 1. The contribution of each
measure to the composite score is
determined by the results of the
principal components analysis, as
described further in attachment B.
Key Features of Composite and
Measures
This composite includes one measure
that is similar to the measure of
placement stability used in the first
round of the CFSR—placement stability
for children who have been in foster
care for less than 12 months. The one
revision to this measure is that it
includes only children who have been
in foster care for 8 days or longer. We
made this revision in response to
concerns expressed by respondents
regarding including children in foster
care for very short periods of time in the
measure of placement stability.
However, if a child is in care for 8 days
or longer, the placement changes that
occurred during the first 8 days in foster
care are considered in the measure. Two
additional measures were added to the
composite to address the issue of
placement stability for children in foster
care for longer periods of time. ACF
believes that placement stability is as
important to the well-being of children
in foster care for 2 years or longer as it
is for children who have been in foster
care for only a few months. Most
respondents to the Federal Register
notice expressed support for this
composite and the measures. However,
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respondents raised the following
concerns regarding the measures:
• The measures do not define what
constitutes a placement change. This
issue has been raised in the past
regarding reporting placement changes
to AFCARS. Clarification was issued to
the States in CWPM 1.2B.7.
• The measures do not capture
variations with regard to time in foster
care. Respondents noted that the
children included in the measure who
were in care for less than 12 months
could have been in care for only a few
weeks or for several months. In response
to this concern, ACF examined
alternative approaches to this measure,
including an entry cohort approach.
However, unless a measure specified
that all children were in foster care for
a specified time period, all of the
approaches considered had the same
problem. For example, we could address
this problem if we included in the
measure only children who were in
foster care for at least 11 of the 12
months. However, this does not capture
the issue of placement stability for
children who are in foster care for short
periods of time. Our review of the data
indicated that these children can
experience multiple placements as well
as those children in foster care for
longer periods of time. Consequently,
we have maintained the measure as
proposed with the exclusion of children
who were in foster care for less than 8
days.
• ACF should expand the definition
of placement stability from two
placement settings to three placement
settings for children who have been in
foster care for longer than 12 months
and for older children because two
placement settings is not a realistic
measure of placement stability for these
children. In developing the outcome
measures for the Annual Report to
Congress on Child Welfare Outcomes,
ACF engaged in a broad-based
consultation process with stakeholders
in the field, including representatives
from State and county child welfare
agencies, child advocacy organizations,
and child welfare researchers. With
regard to the outcome measure
pertaining to placement stability, ACF,
based on input from these stakeholders,
established a definition of placement
stability as a child experiencing two or
fewer placement settings. The decision
to have two placement settings in the
definition instead of one was based on
the following: (1) often it is difficult to
determine the most appropriate
placement setting at the time of the
child’s initial removal from home; and
(2) in many States, children are placed
in a shelter type placement for a short
period of time in order to assess the
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needs of the child and determine the
most appropriate placement. We have
decided not to increase the number of
placement settings in our definition of
placement stability for any of the
measures. One reason for this is that our
existing definition was established in
consultation with key stakeholders in
the child welfare field. In addition,
placement stability is a critical
component of the well-being of children
in foster care. States are responsible for
ensuring that children who are removed
from their homes by the State
experience stability while they are in
foster care. It is not in the best interest
of a child to experience multiple
placement settings regardless of the time
that the child is in foster care, the
child’s age, or the reason for the child’s
entry into foster care.
• The placement setting information
does not capture changes in placement
settings that are positive changes.
AFCARS does not have information
about whether a placement change
reflects a positive move for the child.
For example, changing a child’s
placement in order to move the child
closer to the parents to facilitate more
frequent visits. It is difficult to assess
whether a placement change is positive
for the child without contextual
information about various factors such
as the needs of the child and the
existing conditions of the child’s
placement. For example, a child may
change placements because of the death
or illness of a foster parent, or because
the child is in need of a specific type of
treatment. The question of whether a
placement change is in a positive
direction is addressed in the case review
component of the CFSR because more
information about the child and the
placements is available in that process.
As noted previously, although we
cannot account for these events in the
data measure, we also do not expect that
100 percent of the children in any of the
specified time-in-care timeframes will
experience no more than two placement
settings.
This announcement is intended to
provide information about the national
data that will be used in the next round
of the CFSR as a component of the
overall assessment of a State’s
substantial conformity with two of the
seven CFSR outcomes. The attachments
to this announcement provide
supplementary information regarding
the methodology used in developing the
data composites.
Dated: June 1, 2006.
Joan E. Ohl,
Commissioner, Administration on Children,
Youth and Families.
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TABLE 1.—RANGE, PERCENTILES, AND NATIONAL STANDARDS FOR THE MEASURES AND COMPOSITES TO BE USED IN THE
SECOND ROUND OF THE CHILD AND FAMILY SERVICES REVIEW
Composites and performance measures
Range
National
standard
Median
Performance Measures Associated with Performance on CFSR Safety Outcome 1—Children Are, First and Foremost, Protected from
Abuse and Neglect
Of all children who were victims of a substantiated or indicated maltreatment allegation during
the first 6 months of FY 2004, what percent were not victims of another substantiated or indicated maltreatment allegation during a 6-month period?
Maltreatment of children in foster care: Of all children in foster care in FY 2004, what percent
were not victims of a substantiated or indicated maltreatment by a foster parent or facility staff
member?
86.0–98.0
93.5
95.2 or higher.
99.07–100
99.68
99.67 or higher.
Composites, Components, and Performance Measures Associated with Performance on CFSR Permanency Outcome 1—Children Have
Permanency and Stability in Their Living Situations
Permanency Composite 1: Timeliness and Permanency of Reunification
Scaled Scores for the Timeliness and Permanency of Reunification Composite incorporating two
components and four measures.
Component A. Timeliness of reunification:
Of all children discharged from foster care to reunification in FY 2004 who had been in foster care for 8 days or longer, what percent were reunified in less than 12 months from the
time of the latest removal from home? (This includes the Trial Home Visit adjustment.).
Of all children discharged from foster care to reunification in FY 2004 who had been in foster care for 8 days or longer, what was the median length of stay from the time of the
most recent entry into foster care until discharge to reunification (in months)? (This includes the Trial Home Visit adjustment.)
Of all children entering foster care in the first 6 months of FY 2004 who remained in foster
care for 8 days or longer, what percent were discharged from foster care to reunification
in less than 12 months of the time of entry into foster care? (This includes the Trial Home
Visit adjustment.)
Component B. Permanency of reunification:
Of all children discharged from foster care to reunification in FY 2003, what percent re-entered foster care in less than 12 months?
Composites, commponents, and performance measures
50–150
96.1
106.7 or higher.
44.2–88.8
69.5
No Standard.
2.0–13.7
6.5
No Standard.
15.7–65.4
35.3
No Standard
1.6–29.5
14.8
No Standard.
Range
National
standard
Median
Permanency Composite 2: Timeliness of Adoptions
Scaled scores for the Timeliness of Adoptions Composite incorporating three components and
five measures.
50–150
96.5
102.1 or higher
6.4–74.9
27.1
No Standard.
16.2–55.7
32.0
No Standard.
Component A: Timeliness of adoptions of children discharged from foster care
Of all children who were discharged from foster care to a finalized adoption in FY 2004, what
percent was discharged in less than 24 months from the time of the latest removal from the
home?
Of all children who were discharged from foster care to a finalized adoption in FY 2004, what
was the median length of stay in foster care (in months) from the time of removal from the
home to the time of discharge from foster care?
Component B: Progress Toward Adoption for Children Who Meet ASFA Time-in-Care Requirements
Of all children in foster care on the first day of FY 2004 who were in foster care for 17 continuous months or longer, what percent were adopted before the end of the fiscal year?
Of all children in foster care on the first day of FY 2004 who were in foster care for 17 continuous months or longer, what percent became legally free for adoption (i.e., a TPR was
granted for each living parent) within 6 months of the beginning of the fiscal year?
8.0–25.1
18.0
No Standard.
0.2–17.2
9.0
No Standard
Component C: Progress Toward Adoption of Children Who Are Legally Free for Adoption
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Of all children who became legally free for adoption during FY 2004, what percent were discharged from foster care to a finalized adoption in less than 12 months?
18.9–85.2
43.7
No Standard.
98.6
105.2 or higher.
Permanency Composite 3: Achieving Permanency for Children in Foster Care
Scaled scores for the Achieving Permanency Composite incorporating two components and
three measures.
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Composites, commponents, and performance measures
Range
National
standard
Median
Component A: Achieving Permanency for Children in Foster Care for Extended Periods of Time
Of all children who were discharged from foster care and were legally free for adoption (i.e.,
there was a TPR for each living parent), what percent exited to a permanent home defined as
adoption, guardianship, or reunification prior to their 18th birthday?
Of all children in foster care for 24 months or longer at the start of the fiscal year, what percent
were discharged to permanency in less than 12 months and prior to their 18th birthday?
84.6–100.0
96.8
No Standard.
8.0–35.2
24.6
No Standard.
Component B: Children Emancipated Who Were in Foster Care for Extended Periods of Time
Of all children who exited foster care with adischarge reason of emancipation or who reached
their 18th birthday while in foster care, what percent were in foster care for 3 years or longer?
Composites, components and measures
17.5–80.4
50.6
No Standard.
Range
Median
National standard
50–150
64.7–97.1
102.0
82.4
37.0–82.3
59.5
No Standard.
14.1–53.8
33.4
No Standard.
Permanency Composite 4: Placement stability
Scaled scores for the Placement Stability Composite incorporating three measures ......................
Of all children in foster care for 8 days or longer and less than 12 months, what percenthad two
or fewer placement settings?
Of all children in foster care for at least 12 months but less than 24 months, what percent had
two or fewer placement settings?
Of all children in foster care for at least 24 months, what percent had two or fewer placement
settings?
Attachment A: List of Data To Be
Included in the State Data Profile
Prior to development of the Statewide
Assessment for the CFSR, each State
will receive a State Data Profile. This
profile will continue to include the
information that was provided in the
first round of the CFSR. It also will
include new information regarding
composite scores, the measures for the
composites, and additional information
relevant to the composites. This
attachment provides a list of the general
kinds of data that will be provided to
States in the State Data Profile.
Additional information may be added to
the State Data Profile at a later date.
Most of the data will be provided for 3
years. However, the States to be
reviewed in the first year of the CFSR
will have only 2 years of data for each
of the composites and composite
measures.
Descriptive Information
rwilkins on PROD1PC63 with NOTICES
Descriptive Information Currently
Included in the State Data Profile
A. Descriptive Information From the
National Child Abuse and Neglect Data
System (NCANDS)
1. The number of reports alleging
maltreatment of children that reached a
disposition within the reporting year;
the total numbers of reports, and the
number of unique children associated
with reports alleging maltreatment.
2. The numbers and percentages of
reports that were given a disposition of
‘‘Substantiated and Indicated,’’
‘‘Unsubstantiated,’’ and ‘‘Other.’’
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3. The numbers and percentages of
child cases opened for services, which
is based on the number of victims
during the reporting period under
review.
4. The numbers and percentages of
children entering foster care in response
to a child abuse/neglect report.
5. The number of child fatalities.
B. Descriptive Information From the
Adoption and Foster Care Analysis and
Reporting System (AFCARS). (Where
Relevant, the Descriptive Data Identified
Below Will Be Provided for Both a
Point-in-Time Analysis and for a Cohort
of Children Entering Foster Care in a
Given Year)
1. Number of children in foster care
on the first and last day of the fiscal year
and number of children entering and
exiting foster care in the fiscal year.
2. Placement settings for children in
foster care.
3. Case plan goals for children in
foster care.
4. Number of placement settings in
the current foster care episode.
5. Number of foster care episodes of
children in foster care at the end of the
fiscal year.
6. Number and percentage of children
in foster care for 17 of the most recent
22 months, calculated from the number
of all children in foster care on the last
day of the fiscal year.
7. The median length of stay (months)
in foster care of children in care on the
last day of the year.
8. Number of children who
discharged to each type of permanency
goal and the length of stay in foster care
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108.2 or higher.
No Standard.
(in months) for those children who
discharged to each permanency goal.
New Descriptive Information To Be
Included in the State Data Profile
A. New Descriptive Information From
NCANDS
1. The mean time from receipt of an
allegation of child maltreatment to the
initiation of an investigation.
2. The median time from receipt of an
allegation of child maltreatment to the
initiation of an investigation.
3. The percent of children in foster
care who are the subject of a
substantiated or indicated maltreatment
where the perpetrator is a parent.
B. New Descriptive Information From
AFCARS
1. The number and percent of
children entering foster care in the fiscal
year who were in care for 7 days or less
before being discharged from foster care.
2. The number and percent of
children exiting foster care in the fiscal
year who were in foster care for 7 days
or less.
Analytical Information
Analytical Information Currently
Included in the State Data Profile
A. Current Analytical Information From
NCANDS
1. Maltreatment recurrence: Of all
children who were victims of abuse
and/or neglect during the first 6 months
of the reporting year, the percent that
were victims of another abuse or neglect
incident within a 6-month period.
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2. Maltreatment of children in foster
care: Of all children who were in foster
care during the reporting year, the
percent that were victims of abuse and/
or neglect by a foster parent or facility
staff member.
B. Current Analytical Information From
AFCARS
1. Time to Reunification: For the
reporting year, of all children who were
reunified with their parents or
caretakers at the time of discharge from
foster care, the percent that were
reunified in less than 12 months from
the time of the latest removal from
home.
2. Time to Adoption: For the reporting
year, of all children who exited foster
care to a finalized adoption, the percent
that exited foster care in less than 24
months from the time of the latest
removal from home.
3. Placement Stability: For the
reporting year, of all children served
who have been in foster care less than
12 months from the time of the latest
removal from home, the percent that
have had no more than two placement
settings.
4. Re-entry into foster care: Of all
children who entered foster care during
the reporting year, the percent that reentered foster care within 12 months of
a prior foster care episode.
New Analytical Information To Be
Included in the State Data Profile
A. New Analytical Information From
NCANDS
1. Maltreatment recurrence: Of all
children who were victims of abuse or
neglect during the first 6 months of the
reporting year, the percent that were not
victims of another maltreatment within
a 6-month period.
2. Maltreatment of children in foster
care: Of all children who were in foster
care during the reporting year, the
percent that were not victims of
maltreatment by a foster parent or
facility staff member.
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B. New Analytical Information From
AFCARS
1. The composite score for
Permanency Composite 1: Timeliness
and permanency of reunifications and
the national standard for this composite.
2. Data pertaining to actual
performance on the measures included
in Permanency Composite 1. These are
as follows:
• For the reporting year, of all
children discharged from foster care to
reunification who had been in foster
care for 8 days or longer, the percent
that met either of the following criteria:
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(1) The child was reunified in less than
12 months from the date of the latest
removal from home, or (2) the child was
placed in a trial home visit within 11
months of the date of the latest removal
and the child’s last placement prior to
discharge to reunification was the trial
home visit.
• For the reporting year, of all
children discharged from foster care to
reunification who had been in foster
care for 8 days or longer, the median
length of stay in months from the date
of the most recent entry into foster care
until either of the following: (1) The
date of discharge to reunification; or (2)
the date of placement in a trial home
visit that exceeded 30 days and was the
last placement setting prior to discharge
to reunification.
• For the reporting year, of all
children entering foster care in the
second 6 months of the year who
remained in foster care for 8 days or
longer, the percent who met either of
the following criteria: (1) The child was
reunified in less than 12 months from
the date of entry into foster care, or (2)
the child was placed in a trial home
visit in less than 11 months from the
date of entry into foster care and the
trial home visit was the last placement
setting prior to discharge to
reunification.
• Of all children exiting foster care to
reunification in the year prior to the
reporting year, the percent that reentered foster care in less than 12
months from discharge from a prior
episode.
3. The composite score for
Permanency Composite 2: Timeliness of
adoptions
4. Data pertaining to State
performance on the following measures
included in Permanency Composite 2.
• For the reporting year, of all
children who were discharged from
foster care to a finalized adoption
during the year, the percent that were
discharged in less than 24 months from
the date of the latest removal from the
home.
• For the reporting year, of all
children who were discharged from
foster care to a finalized adoption, the
median length of stay in foster care (in
months) from the date of removal from
the home to the date of discharge to
adoption.
• For the reporting year, of all
children in foster care on the first day
of the year who were in foster care for
17 continuous months or longer, the
percent that were discharged from foster
care to a finalized adoption before the
end of the fiscal year.
• For the reporting year, of all
children in foster care on the first day
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of the year who were in foster care for
17 continuous months or longer, the
percent that became legally free for
adoption within 6 months from the
beginning of the fiscal year.
• For the reporting year, of all
children who became legally free for
adoption, the percent that were
discharged from foster care to a
finalized adoption in less than 12
months of becoming legally free?
5. The composite score for
Permanency Composite 3: Achieving
permanency for children in foster care.
6. Data pertaining to State
performance on the following measures
included in Permanency Composite 3.
• For the reporting year, of all
children who were discharged from
foster care who were legally free for
adoption (i.e., there was a TPR for each
living parent), the percent that were
discharged to a permanent home prior
to their 18th birthday, with a permanent
home defined as having a discharge
reason of adoption, reunification
(including live with relative), or
guardianship.
• Of all children who were in foster
care for 24 months or longer on the first
day of the reporting year, the percent
that were discharged from foster care to
a permanent home prior to their 18th
birthday and by the end of the fiscal
year.
• During the reporting year, of all
children who were emancipated from
foster care or reached their 18th
birthday while in foster care, the
percent that had been in foster care for
3 years or longer.
7. The composite score for
Permanency Composite 4: Placement
stability
8. Data pertaining to the following
measures in Permanency Composite 4.
• For the reporting year, of all
children in foster care who were in
foster care for 8 days or longer and less
than 12 months, the percent that had
two or fewer placement settings.
• For the reporting year, of all
children in foster care who were in
foster care for at least 12 months but less
than 24 months, the percent that had
two or fewer placement settings.
• For the reporting year, of all
children in foster care during the year
who were in foster care for 24 months
or longer, the percent that had two or
fewer placement settings.
Attachment B: Methodology for
Developing the Composites
After the first round of the Child and
Family Services Review, the
Administration for Children and
Families (ACF) conducted a review of
possible additional measures for
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assessing State performance with regard
to achieving permanency and placement
stability for children in foster care.5 The
purpose of the review was to increase
the pertinent data used as part of the
assessment of a State’s substantial
conformity with CFSR outcomes. The
goal was to enhance the understanding
of State performance on the outcomes
assessed through the CFSR.
The review of potential measures was
guided by a consideration of the
following key performance areas
reviewed in the CSFR: (1) Timeliness
and permanency of reunifications; (2)
timeliness of adoptions; (3) achieving
permanency for children in foster care
for long periods of time; and (4)
placement stability. Multiple measures
were developed for consideration
within each performance area. ACF
determined that all measures considered
had to meet the following criteria:
• Measures must include data
currently collected through the
Adoption and Foster Care Analysis and
Reporting System (AFCARS). For
example, although it would be useful to
be able to assess such variables as
adoption dissolution or the quality of a
child’s placement, neither type of
information is collected through
AFCARS. However, ACF encourages
State child welfare systems to conduct
their own analyses of issues such as
these to further understand the
outcomes experienced by the children
they serve.
• Measures must meet the timeframe
requirements of the CFSR. Each measure
must be able to be assessed consistent
with the period under review and the
period necessary for assessing progress
in the Program Improvement Plan (PIP).
• Measures must assess outcomes
that are consistent with titles IV–B and
IV–E of the Social Security Act and the
Social Security Amendments of 1994
which authorized the reviews. While
Congress granted ACF the authority to
monitor the progress of State child
welfare agencies, there are limits to our
statutory authority with regard to the
CFSR. For example, the authorization
for the CFSR does not include
monitoring for adherence to the
requirements of the Chafee Foster Care
Independence Act or to the
requirements of the Indian Child
Welfare Act.
• Measures must incorporate an
assessment of events that have actually
occurred rather than be based on
statistical projections of the likelihood
5 The same process was conducted for assessing
State performance with regard to safety, but based
on feedback from the field and the results of our
data analyses, no additional safety-related measures
were developed.
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of an event occurring sometime in the
future. Although ACF is aware of the
statistical procedures that can be used to
estimate the likelihood of particular
outcomes occurring within particular
timeframes, we do not believe that it is
appropriate to use these methodologies
in the CFSR assessment because there
are penalties associated with State
performance.
The measures that we developed were
presented to the public for comment in
a Federal Register notice published on
November 7, 2005. Based on feedback
from the field and additional data
analyses, several measures were
eliminated from consideration or
revised to more effectively capture the
intended objectives.
Our initial goal was to expand the
information used in the data indicators.
However, ACF did not want to increase
the complexity of the CFSR by having
multiple measures with national
standards for each measure. Instead, our
goal was to implement a methodology
that would allow us to create a set of
composite scores, with each composite
score reflecting performance on several
inter-correlated measures. To assist us
in achieving this goal, we hired an
internationally known expert
statistician as a consultant. After
reviewing several possible statistical
methodologies, we determined that a
Principal Components Analysis (PCA)
was the most appropriate approach.
A PCA is a commonly used and
widely accepted statistical technique for
reducing a large set of variables into a
smaller set. The PCA not only combines
inter-correlated variables but also
identifies those that are redundant
because they are very highly intercorrelated. Each variable in the set is
given a weight in accordance with its
relative contribution to the set as a
whole. The resulting principal
components are more stable and easier
to interpret than individual measures
because several individual variables are
related to one another. The principal
components that result from a PCA can
be used as data for other types of
statistical analyses, such as survival
analysis, discriminant function analysis,
and multiple regression analysis.
Although a PCA can be used to test
hypotheses or theories, ACF did not use
it for this purpose. Instead, we used the
PCA as an exploratory tool. In an
exploratory PCA, the goal is to describe
and summarize data by grouping
together variables that are correlated. As
noted by Tabachnik and Fidel,6 PCA is
6 B.G. Tabachnik and L.S. Fidell (2001). Using
Multivariate Statistics, Fourth Edition. Boston,
Massachusetts: Allyn & Bacon.
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different from factor analysis, which
focuses on shared variance among
variables. ‘‘In a PCA, all variance in the
observed variables is analyzed,
including common, unique, and error
variance. The resulting components are
simply aggregates of existing variables.
There is no underlying theory about
which variables should be associated
with which factors; rather relationships
emerge based solely on empirical
associations. It is understood that any
labels applied to derived components
are merely convenient descriptions of
the combination of variables associated
with them. These labels are intended to
describe the critical core outcomes
being assessed.’’
Using the PCA to Develop Composite
Scores for the CFSR
This section presents a discussion of
the methodology used to implement the
PCA. The definitions of the terms used
and the conceptual structure are as
follows:
• Measure. In the discussion below,
this term refers to the variables included
in each PCA. Performance on each
measure provides the basic data for the
PCA. We have used the term measure
rather than variable to clarify that it is
performance on the specific measures
described in this Federal Register
Announcement that is considered as the
focus of analysis.
• Component: This term refers to the
general factors that comprise a given
composite. In our analysis, the number
of components in a composite ranges
from one to three.
• Composite: This term refers to the
general performance area assessed, i.e.,
timeliness and permanency of
reunification, timeliness of adoptions,
achieving permanency for children in
foster care for long periods of time, and
placement stability.
• Results: This term refers to the
output from each data analysis for each
composite. That is, the analysis may be
said to produce results for each
composite.
• Solution: This term refers to the
overall pattern of results across multiple
data analyses.
PCA requires a sample size of 500 or
more units to achieve maximum
stability in the solution. Therefore, ACF
decided from the outset that the unit of
analysis would be performance on the
measures included in each composite
domain at the county rather than at the
State level. Because many counties often
serve very small numbers of children in
foster care, the number of children
served in foster care in each of the 2,984
counties was calculated (using the
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FIPScodes).7 Small counties within a
given State were combined (i.e., ‘‘rolled
up’’) to represent a single ‘‘county’’ that
served at least 50 children in foster care
in FY 2004.8 This resulted in a total of
2,119 ‘‘counties’’ that could possibly be
included in the analysis.9
Once the ‘‘counties’’ were established,
the PCA was implemented using the
steps described below.
1. Rank-order the counties and assign
each county to one of two samples ‘‘ Set
A or Set B. Using matched-pair
sampling, each county was randomly
assigned to one of two sets—Set A or Set
B. In the matched-pair sampling,
counties first were ranked in descending
order in terms of ‘‘size,’’ with size
defined as the number of children
served in foster care in the county
during the fiscal year. The counties
were then paired on the basis of size,
with each pair including counties of the
same general size. After this matched
pairing, each county in the pair was
randomly assigned to either Set A or Set
B. The result was that Set A and Set B
were matched with respect to the size of
the counties within each set. The two
Sets were not matched on any other
variable. We created these two sets in
order to cross-validate our PCA results
by comparing the solutions resulting in
each set.
2. Calculate the performance of each
county on each measure. The
performance of each county on each
measure was calculated using the
programming syntax developed for each
measure as applied to data reported to
AFCARS for FY 2003 and FY 2004.10
The focus of analysis was on data
reported for FY 2004. FY 2003 data were
used when more than a 12-month time
span was required to calculate the
measure.
3. Standardize the scores. The results
were standardized by converting the
actual score for each county to a z-score.
7 Counties were excluded from the analyses when
the State did not report a FIPScode in FY 2004.
8 ACF determined that the composites and
national standards would be developed using data
pertaining to FY 2004. This means that, for the
second round of the CFSR, the data used to
establish the national standards will not be the
same as the data used to evaluate performance of
any of the States.
9 The number of counties included in the PCA
varies across the composites. This is because a
county had to have a value for all of the measures
included in a specific composite domain in order
to be included in the PCA. For example, if a county
did not have any children in foster care for 17
months or longer at the start of the fiscal year, then
that county was not included in the PCA for the
timeliness of adoption composite because there
were two measures in that composite that focus on
permanency for children in foster care for 17
months or longer.
10 The syntax and the aggregated database will be
made available to the public.
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The use of standardized scores rather
than actual calculated results allows for
variables measured in different units to
be included in the analysis. For
example, median length of stay in foster
care is calculated in months, while
reunification within 12 months is
calculated in percentages. Standardized
scores are helpful for two reasons: (a)
All variables are converted to the same
scale of measurement, and (b) scores for
each variable are normally distributed.
The z-scores were adjusted for the
direction of the measure. For example,
a positive score on one measure can
indicate positive performance or
negative performance, depending on the
focus of the measure. To adjust for this,
z-scores for some of the measures were
multiplied by ¥1 to ensure that all
scores are interpreted in the same way.
That is, the higher the score the better
the performance. The following
measures were recoded to adjust for
direction:
• Median length of stay in foster care
of children reunified;
• Median length of stay in foster care
of children discharged from foster care
to a finalized adoption;
• Percent of children discharged from
foster care who re-entered in less than
12 months from the time of exit; and
• Percent of children who
emancipated from foster care or who
reached their 18th birthday while in
foster care who were in foster care for
3 years or longer.
4. Conduct a PCA analysis on Set A
and Set B independently. Using the
Statistical Packages for the Social
Sciences (SPSS) statistical software, we
ran the PCA for Set A and Set B
separately for each of the four composite
areas.
5. Decide what component variables
to include for each composite measure.
After the initial analyses, we reviewed
the results and made decisions
regarding the variables to be included in
each composite measure in accordance
with the standard procedures for
conducting a PCA. All decisions were
data driven and were nearly identical
for both Set A and Set B. For example,
when two measures correlated so highly
that they appeared to be capturing the
same information, we eliminated one of
the measures. When one or two
measures did not correlate highly with
other measures but still appeared to
account for a high percentage of the
variance in the total composite domain,
we considered those as comprising a
separate principal component. The goal
was to identify components that
accounted for as much of the sample
variance as possible. That is, we wished
to select the minimum number of
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principal components that would enable
us to reproduce the observed
correlations among the variables used in
the analysis. A set of principal
components that explained 100 percent
of the variance would reproduce the
data perfectly. Generally, identifying
one or two principal components that
explain 50 percent of the variance is
considered very good. Identifying a
small set of principal components that
explain 70 percent of variance or more
is considered excellent.
6. Compare the findings for Set A and
Set B. A t-test on means from two
independent samples was conducted on
the county component scores comparing
Set A and Set B for each of the four
composites. No significant differences
between the Sets were found for any of
the composites. The p values exceeded
0.05 for all comparisons. This indicated
that the PCA of the two independent
samples produced the same results.
7. Create a new data set that
incorporates all counties included in Set
A and Set B into one data set and
replicate the PCA analysis (Steps 2
through 6 above) on the combined data
set to generate the Component Score
Coefficient Matrix. The PCA generates
what is termed a ‘‘component score
coefficient’’ for each measure. The data
analyses may result in a number of
principal components, depending on
the relationships among the measures as
reflected in the component score
coefficients. The coefficient represents
the ‘‘weight’’ for a given measure—that
is the relative contribution of the
measure to the overall component. The
components that emerged from the
analyses combining Set A and Set B are
presented below for each composite.
These components were identical to
those that emerged in the separate
analyses of Set A and Set B. That is, the
same principal components emerge
consistently and explain the same
proportion of variance. We have
established a ‘‘name’’ for each
component. The name reflects the focus
of the measures that have the highest
loading on the component. The measure
with the highest loading often is
referred to as the marker variable. The
coefficients (or weights) for each
measure within each component are
provided in table 1. The higher the
coefficient, the greater the contribution
a particular measure makes to the
component.
• Permanency Composite 1—
Timeliness and Permanency of
Reunification. The analyses for this
composite included 1,894 counties. Two
components emerged from the analysis
of measures included in this composite.
The two components explain 73.5
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percent of the variance. We named the
first component timeliness of
reunification, and the second
component permanency of
reunification. Because these
components are independent from one
another, each contributes 50 percent to
the total composite score.
• Permanency Composite 2—
Timeliness of Adoptions. The analysis
for this composite included 1,453
counties. Three components emerged
from the analysis of measures included
in this composite. Taken together, these
components explain 79.8 percent of the
total variance. The first component we
named timeliness of adoptions of
children exiting foster care to adoption.
The second component, we named
progress toward adoption for children in
foster care for 17 months or longer. The
third component we named timeliness
of adoption of children who are legally
free for adoption. Because these
components are independent from one
another, each contributes 33.3 percent
to the total composite score.
• Permanency Composite 3—
Achieving permanency for children in
foster care for long periods of time. The
analysis for this composite included
1,682 counties. Two components
emerged from the analyses of these
measures. These components account
for 74.9 percent of the total variance.
The first component we named
permanency for children in foster care
for long periods of time. The second
component we named children
emancipated after being in foster care
for long periods of time. Because the
components are independent of one
another, each contributes 50 percent to
the total composite score.
• Permanency Composite 4—
Placement stability. This analysis
included 2,119 counties. One
component, which we have named
placement stability, emerged from the
analysis of the measures included in
this composite. The component
accounts for 67.4 percent of the
variance.
8. Generate the component scores for
each county. For each county included
in the analysis, the z-score for each
measure (generated under step 3) is
multiplied by the coefficient for that
measure (shown in table 1), resulting in
a ‘‘weighted score’’ for each measure
within the component. The weighted
scores for each measure within a
component are then summed. The result
is a county component score.
9. Generate the composite scores for
each county. The county composite
score represents a combination of the
component scores. If there is only one
component in the composite, then the
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county composite score and the county
component score are the same. If there
is more than one component in the
composite, then the county composite
score is the mean of the scores for each
component. For example, if there are
two components in a composite, then
the county component scores are
summed and divided by two to generate
the county composite score. If there are
three components in a composite, then
the county component scores are
summed and divided by three to
generate the county composite score.
10. Generate the composite scores for
each State. The composite score for each
State was generated based on the
composite scores for each of the
counties in the State. Within a given
State, each county’s composite score
was assigned a weight based on the
number of children served in foster care
in the county in FY 2004. That is,
counties with larger foster care
populations were weighted more
heavily than counties with smaller
foster care populations. The State
composite score was calculated as the
mean of the weighted county composite
scores for that State. That is, the
weighted composite scores for each
county were summed and the sum was
divided by the number of counties. This
resulted in the State composite score.
11. Conduct a consolidated variable
analysis. Initially, a separate PCA was
conducted for each of the composite
areas. At this point, we also conducted
a consolidated variable PCA in order to
cross-validate the solutions that
emerged from the separate PCAs. That
is, the PCA was applied to all of the
measures taken together. The results
generated from the consolidated
variable analysis were identical to those
that emerged from the separate PCAs;
thus, the overall four-composite
solution was identical across different
data analyses.
12. Transform State composite scores
to a scale ranging from 50 to 150. The
initial composite scores were derived
from of z-scores. We transformed the
scores into ranked scale scores by using
a transformation that assures that the
maximum State Composite Score attains
a value of 150 and the minimum State
Composite Score attains a value of 50.
The other scores fall between these two
limits depending on their actual State
Composite Score.11
11 The formula for transforming the standard
scores into ranked scaled scores was the following:
[100 × ((State Composite Score ¥Minimum State
Composite Score) / (Maximum State Composite
Score ¥Minimum State Composite Score)) + 50].
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Response to Concerns Regarding Use of
PCA.
Several individuals commenting on
the notice published in the November 7,
2005 Federal Register expressed
concerns about our use of PCA to
generate composite scores. We believe
that some of these concerns are
addressed in the description of PCA and
our process provided in the first section
of this attachment. Additional specific
concerns are presented below (and
underlined), followed by our response.
• The use of PCA may mask the
importance of individual variables and
perhaps prevent States from identifying
‘‘salient contributing variables.’’
Although the PCA shifts the focus of
interpretation to a composite score
rather than individual scores that make
up a composite, the relative
contribution of an individual measure to
the composite scores will be known to
States through the county weights of the
number of children served and the
coefficients assigned to each measure.
From a statistical perspective, the more
salient a particular variable or measure,
the greater the weight. In a PCA, a
critical measure will have a prominent
role either as the ‘‘marker variable’’ in
a PCA (i.e., the one that makes the
largest contribution to the component
with regard to the amount of variance
for which it accounts) or as the sole
measure that loads on a particular
component. With regard to actual
performance on individual measures,
ACF will provide these data in the State
Data Profile for each of the States.
• The ACF proposal seems to
arbitrarily group indicators together.
The methodology of putting several
indicators together and forcing them to
be a composite single indicator
contradicts the potentially powerful
intent and purpose of PCA. As noted in
the first section of this attachment, the
PCA combines scores based on intercorrelations among the variables used in
the analysis. It does not force unrelated
variables onto a single component. As
indicated under step 11 above, a
consolidated variables analysis
produced the same results as the
composite-specific analyses. That is, the
same variables were inter-correlated
with one another in both analyses and
the same components emerged.
• It would be better to use other forms
of analysis such as logistic regression
that might demonstrate the variables
predictive of a dichotomous outcome
(such as maltreatment in foster care).
PCA reduces a larger set of variables
into a smaller set based on observed
empirical relationships. In comparison,
regression uses one set of variables to
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predict an outcome measure. Our goal
in constructing composites was to
identify relationships among variables
that relate to a particular performance
domain. Also, the goal of the CFSR is to
measure performance on given
outcomes rather than to predict
performance on a given outcome.
• PCA does not compensate for
measures that are currently
misunderstood or inadequately defined;
it compounds the existing weaknesses in
each measure. It is incorrect to say that
• Knowledge-building and the
interpretation of research is greatly
limited by using component factors
calculated as proposed. The current set
of measures has a latent structure
inherent within it. PCA analysis enables
us to explore that structure and identify
a variety of highly interpretable PC
composite scores. We believe that the
results of our analyses are very strong
and lead to unambiguous interpretations
of the principal components used to
evaluate performance.
• Even sophisticated users of this
method agree that the number of factors
to choose when using the method is to
some extent arbitrary. We used a highly
conservative, data-driven approach to
identify the relationships among
variables. These relationships are not
arbitrary; rather they are derived
empirically from the data and reflect the
structure inherent within the data. It is
important to note that changes in
extraction and rotation would have little
or no impact on the present analysis as
the cross-validation analysis in Step 11
indicates. In addition, all four solutions
were replicated across two different
samples, suggesting a high level of
stability. Although every statistical
procedure includes some degree of
estimation error, the present analyses
are robust and do not invite arbitrary
interpretation of the results.
• More user-friendly approaches to
creating composite outcome measures
are available, but not mentioned in the
ACF recommendations. We believe that
the options available for constructing
composites from a set of data measures
are principal components/factor
analysis, cluster analysis, and
multidimensional scaling. Based on our
discussions with our expert consultant,
we believe that PCA is the most
appropriate option in the present case.
We began our analysis of the CFSR
variables making only the assumption
that the variables possess some latent
structure. There was no designated
criterion variable that we could use as
a dependent/outcome measure. Our task
was to reduce an existing set of
variables to a smaller set of intercorrelated composite scores. Regression/
survival methods could be used if we
were to select an outcome measure as
the criterion that will be predicted.
However, at the outset of this effort, we
determined that we would not identify
or use an outcome measure to estimate
the weight of each variable in relation
to the designated outcome variable.
• Composite scores have no intrinsic
meaning or relationship to important
outcomes. Composite scores are used
routinely in educational testing and
assessment because they are more
reliable in that they represent the
construct of interest better than any
single variable. Two basic psychometric
principles of measurement are (1) a test
with more questions is more reliable;
and (2) combining related scores into a
composite score results in a more
reliable and valid score than the
individual scores on which the
composite is based. This is contrary to
the notion that well-planned composite
scores are inferior to individual scores
that are used to create the composite.
• No uniformly agreed methodology
exists to weight individual indicators
before aggregating them into a
composite indicator. A uniform
methodology does exist for conducting
a PCA. There are many highly respected
books that lay out the steps to follow
and how to make critical decisions. All
of these books recommend the same
general process. Our approach to using
PCA was very systematic and
conservative. Like all statistical
procedures, the researcher must make
choices that impact the outcome. For
example, in regression analysis, the
researcher must select variables,
determine an order in which they enter
the analysis, and decide whether
nonlinear components are relevant. The
output also will depend on sample size
and what population is sampled.
Establishing the National Standard
The process for establishing the
national standards on the composite
scores was identical to that used for the
first round of the CFSR. (See ACYF–CB–
IM–00–11 and ACYF–CB–IM–01–07).
The sampling error adjustments were
done on the standard score data prior to
conversion to the scale score.
TABLE 1.—COEFFICIENTS (WEIGHTS) FOR THE MEASURES INCLUDED IN THE PERMANENCY-RELATED DATA COMPOSITES
Components
Composites and variables
Component 2
Permanency Composite 1: Timeliness and Permanency of Reunification.
Reunifications in less than 12 months of children exiting foster
care to reunifications.
Median time in foster care to reunification ....................................
Reunifications in less than 12 months of children entering foster
care.
Re-entries of children into foster care in less than 12 months .....
Permanency Composite 2: Timeliness of Adoptions ............................
rwilkins on PROD1PC63 with NOTICES
Component 1
Timeliness of Reunification.
0.447.
Permanency of Reunification.
0.032.
0.433.
0.342.
0.006.
0.121.
0.141.
Length of time in foster care to adoption.
Adoptions within 24 months of entry into foster care ....................
Median length of stay of children adopted ....................................
Adoptions within 12 months of children in foster care for 17
months or longer.
Children legally freed for adoption within 6 months who have
been in foster care for 17 months or longer.
Adoptions within 12 months of children who are legally free for adoption.
Permanency Composite 3: Achieving permanency for children in foster care for long periods of time.
0.536 ..........................
0.557 ..........................
¥0.095 .......................
1.107.
Progress toward adoption of children in
foster care for 17
months or longer.
¥0.035 .......................
0.114 ..........................
0.524 ..........................
Timeliness of adoptions for children
who are legally free
for adoption.
¥0.033.
¥0.042.
0.249.
0.152 ..........................
0.709 ..........................
¥0.254.
¥0.41 .........................
¥0.058 .......................
0.942.
Children exiting to permanent homes.
Children exiting to
emancipation.
Not applicable to this
composite.
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Component 3
Not Applicable.
Federal Register / Vol. 71, No. 109 / Wednesday, June 7, 2006 / Notices
32987
TABLE 1.—COEFFICIENTS (WEIGHTS) FOR THE MEASURES INCLUDED IN THE PERMANENCY-RELATED DATA COMPOSITES—
Continued
Components
Composites and variables
Component 1
Children in foster care for 24 or more months who achieve permanency in less than 12 months.
Permanent homes for children who are legally freed for adoption
Children emancipated from foster care who were in foster care
for 3 years or longer.
Permanency Composite 4: Placement stability ....................................
Placement stability for children in foster care for less than 24
months.
Placement stability for children in foster care between 12 and 24
months.
Placement stability for children in foster care for 24 months or
longer.
[FR Doc. 06–5193 Filed 6–6–06; 8:45 am]
BILLING CODE 4184–01–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
Food and Drug Administration
[Docket No. 2006N–0220]
Agency Information Collection
Activities; Proposed Collection;
Comment Request; Administrative
Detention and Banned Medical Devices
AGENCY:
Food and Drug Administration,
HHS.
rwilkins on PROD1PC63 with NOTICES
ACTION:
Notice.
SUMMARY: The Food and Drug
Administration (FDA) is announcing an
opportunity for public comment on the
proposed collection of certain
information by the agency. Under the
Paperwork Reduction Act of 1995 (the
PRA), Federal agencies are required to
publish notice in the Federal Register
concerning each proposed collection of
information, including each proposed
extension of an existing collection of
information, and to allow 60 days for
public comment in response to the
notice. This notice solicits comments on
information collection requirements for
Administrative Detention and Banned
Medical Devices.
DATES: Submit written or electronic
comments on the collection of
information by August 7, 2006.
ADDRESSES: Submit electronic
comments on the collection of
information to: https://www.fda.gov/
dockets/ecomments. Submit written
comments on the collection of
information to the Division of Dockets
Management (HFA–305), Food and Drug
Administration, 5630 Fishers Lane, rm.
1061, Rockville, MD 20852. All
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17:54 Jun 06, 2006
Jkt 208001
0.468 ..........................
0.804 ..........................
¥0.146 .......................
¥0.244.
0.922.
Placement stability .....
Not applicable for
composite.
Frm 00075
Component 3
0.274.
Not applicable for
composite.
0.399.
0.421.
0.398.
comments should be identified with the
docket number found in brackets in the
heading of this document.
FOR FURTHER INFORMATION CONTACT:
Denver Presley, Office of Management
Programs (HFA–250), Food and Drug
Administration, 5600 Fishers Lane,
Rockville, MD 20857, 301–827–1472.
SUPPLEMENTARY INFORMATION: Under the
PRA (44 U.S.C. 3501–3520), Federal
agencies must obtain approval from the
Office of Management and Budget
(OMB) for each collection of
information they conduct or sponsor.
‘‘Collection of information’’ is defined
in 44 U.S.C. 3502(3) and 5 CFR
1320.3(c) and includes agency requests
or requirements that members of the
public submit reports, keep records, or
provide information to a third party.
Section 3506(c)(2)(A) of the PRA (44
U.S.C. 3506(c)(2)(A)) requires Federal
agencies to provide a 60-day notice in
the Federal Register concerning each
proposed collection of information,
including each proposed extension of an
existing collection of information,
before submitting the collection to OMB
for approval. To comply with this
requirement, FDA is publishing notice
of the proposed collection of
information set forth in this document.
With respect to the following
collection of information, FDA invites
comments on these topics: (1) Whether
the proposed collection of information
is necessary for the proper performance
of FDA’s functions, including whether
the information will have practical
utility; (2) the accuracy of FDA’s
estimate of the burden of the proposed
collection of information, including the
validity of the methodology and
assumptions used; (3) ways to enhance
the quality, utility, and clarity of the
information to be collected; and (4)
ways to minimize the burden of the
PO 00000
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Fmt 4703
Sfmt 4703
collection of information on
respondents, including through the use
of automated collection techniques,
when appropriate, and other forms of
information technology.
Administrative Detention and Banned
Medical Devices—(OMB Control
Number 0910–0114)—Extension
The Food and Drug Administration
(FDA) has the statutory authority under
section 304(g) of the Federal Food, Drug
and Cosmetic Act (the act) (21 U.S.C.
334(g)), where officers or employees
duly designated by the Secretary (FDA
investigators) may detain devices during
establishment inspections which are
believed to be adulterated or
misbranded. On March 9, 1979, FDA
issued, under § 800.55 (21 CFR 800.55),
a final regulation on Administrative
Detention Procedures (44 FR 13234),
under section 304(g) of the act, which
includes certain reporting requirements
(§ 800.55(g)(1) and (g)(2)) and
recordkeeping requirements
(§ 800.55(k)). Under § 800.55(g), an
appellant of a detention order must
show documentation of ownership if
devices are detained at a place other
than that of the appellant. Under
§ 800.55(k), the owner or other
responsible person must supply records
about how the devices may have
become adulterated or misbranded, as
well as records of distribution of the
detained devices. These recordkeeping
requirements for administrative
detentions allow FDA to trace devices
for which the detention period expired
before a seizure is accomplished or
injunctive relief is obtained.
FDA also has the statutory authority
under section 516 of the act (21 U.S.C.
360f) to ban devices that present
substantial deception, or unreasonable
and substantial risk of illness or injury,
or unreasonable, direct, and substantial
E:\FR\FM\07JNN1.SGM
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Agencies
[Federal Register Volume 71, Number 109 (Wednesday, June 7, 2006)]
[Notices]
[Pages 32969-32987]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 06-5193]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
Administration for Children and Families
The Data Measures, Data Composites, and National Standards To Be
Used in the Child and Family Services Reviews
AGENCY: Children's Bureau, Administration on Children, Youth and
Families, Administration for Children and Families, Department of
Health and Human Services.
ACTION: Final notice of the data measures, data composites, and
national standards to be used in the Child and Family Services Reviews.
-----------------------------------------------------------------------
SUMMARY: On November 7, 2005, the Administration for Children and
Families (ACF) published a notice in the Federal Register soliciting
comment regarding its proposal to replace the six data measures used as
part of the assessment of State performance on the Federal Child and
Family Services Review (CFSR) with six data composites (70 FR 67479).
Based on the results of our data analyses and a review of comments from
the field, ACF made the following decisions:
The CFSR will use a State's performance on two individual
data measures as part of the assessment of the State's substantial
conformity with CFSR Safety Outcome 1--Children are, first and
foremost, protected from abuse and neglect. A national standard is
established for each of these measures.
The CFSR will use a State's performance on four data
composites as part of the assessment of the State's substantial
conformity with CFSR Permanency Outcome 1--Children have permanency and
stability in their living situations. A national standard is
established for each of these data composites.
This announcement presents the following information:
The decisions made by the Children's Bureau regarding use
of data composites for the Federal Child and Family Services Review
(CFSR);
The composites and additional data that will be used as
part of the assessment of a State's substantial conformity with the
CFSR requirements; and
Descriptive statistics relevant to each composite and
measure, including the score that will serve as the national standard
for the second round of the CFSR.
Where relevant, the announcement addresses key comments from the
field in response to the Federal Register notice.
The announcement also includes the following attachments:
Attachment A: Data to be included in the CFSR State Data Profile.
Attachment B: Methodology for Composite Construction.
FOR FURTHER INFORMATION CONTACT: Contact: John Hargrove at
John.Hargrove@acf.hhs.gov, (202) 205-8625.
SUPPLEMENTARY INFORMATION:
I. Background
The CFSR is ACF's results-oriented comprehensive monitoring system
designed to promote continuous improvement in the outcomes experienced
by children and families who come into contact with public child
welfare agencies. ACF developed the CFSR in response to a mandate in
the Social Security Amendments of 1994 (see section 1123A of the Social
Security Act) for the Department of Health and Human Services to
promulgate regulations for reviews of State child and family services
programs under titles IV-B and IV-E of the Social Security Act. ACF's
final regulations on the CFSR process, issued in 2000, can be found at
45 CFR 1355.31 through 1355.37. Between fiscal year (FY) 2001 and FY
2004, ACF conducted the first round of the CFSR. A ``round'' is defined
as a cycle of the CFSR that includes every State, the District of
Columbia, and Puerto Rico.
Information for each CFSR came from the following sources: (1) The
Statewide Assessment, (2) case-level reviews conducted by a team of
Federal and State reviewers, (3) interviews with key stakeholders, and
(4) State data from the Foster Care File of the Adoption and Foster
Care Analysis and Reporting System (AFCARS) and the Child File of the
National Child Abuse and Neglect Data System (NCANDS), or an
alternative data source approved by the Children's Bureau. Using this
information, the first round of the CFSR assessed State performance on
seven outcomes and seven systemic factors. For the most part,
performance on the seven outcomes was determined through the results of
the case reviews. However, in the first round of the CFSR, the
assessment for two outcomes also included a State's performance on six
national data measures that ACF adapted from measures developed for the
Annual Report to Congress on Child Welfare Outcomes in response to the
requirements of section 479A of the Social Security Act. ACF
established national standards for each of the six data measures, all
of which were calculated from data reported by States to NCANDS and
AFCARS. ACF described these six data measures and the national
standards in the preamble to the final CFSR regulation, published in
the Federal Register (65 FR 4024-4025). This same regulation provides
information on how ACF calculated the national standards associated
with each of the six data measures. Subsequently, ACF issued
information memoranda on the specific national standards that would be
used in the initial CFSR implementation (see ACYF-CB-IM-00-11 and ACYF-
CB-IM-01-07).
The following performance measures and national standards were used
during the first round of the CFSR as part of the assessment of a
State's substantial conformity with CFSR Safety Outcome 1--Children
are, first and
[[Page 32970]]
foremost, protected from abuse and neglect:
Repeat maltreatment--Of all children who were victims of
substantiated or indicated child abuse and/or neglect during the first
6 months of the reporting period, 6.1 percent or less had another
substantiated or indicated report within a 6-month period.
Maltreatment of children in foster care--Of all children
who were in foster care during the reporting period, 0.57 percent or
less were the subject of substantiated or indicated maltreatment by a
foster parent or facility staff member.
The following performance measures and national standards were used
as part of the assessment of a State's substantial conformity with CFSR
Permanency Outcome 1--Children have permanency and stability in their
living situations:
Timeliness of reunification--Of all children who were
reunified with their parents or caretakers at the time of discharge
from foster care, 76.2 percent or more were reunified in less than 12
months from the time of the latest removal from home.
Re-entry into foster care--Of all children who entered
foster care during the reporting period, 8.6 percent or less were re-
entering foster care in less than 12 months of a prior foster care
episode.
Timeliness of adoption--Of all children who exited foster
care to a finalized adoption, 32 percent or more exited foster care in
less than 24 months from the time of the latest removal from home.
Placement stability--Of all children who have been in
foster care for less than 12 months from the time of the latest removal
from home, 86.7 percent or more have had no more than two placement
settings.
ACF views the CFSR as a dynamic process. We made ongoing
improvements after each year of the first round of reviews in response
to our experiences in the field and to suggestions from State child
welfare agency administrators. After completion of the first round in
FY 2004, ACF contracted with a consultant to study the CFSR and make
further suggestions regarding potential revisions to the process. To
assist in this task, the consultant convened a CFSR workgroup including
State child welfare agency administrators, child welfare specialists,
and researchers. Based on input from this workgroup, the consultant
presented a set of suggestions for ACF. One suggestion was to replace
the existing CFSR single data measures for which national standards
were established with data composites that incorporate a wider range of
performance areas relevant to a particular child welfare domain. ACF
determined that making this change would enhance the quality of the
CFSR for the following reasons:
The recommendation is consistent with our observations
during the first round of the CFSR that expanding the scope of data
pertaining to a particular child welfare domain will provide a more
effective assessment of State performance. For example, expanding the
scope of data pertaining to the timeliness of reunification will
address various performance areas relevant to this domain, including
the permanency of the reunification.
Data composites will provide a more holistic view of State
performance in a particular domain than a single data measure can
achieve. For example, the current CFSR measure of timeliness of
adoptions considers the percentage of children adopted within 24 months
of entering foster care, but not children's experiences with regard to
the timeframes between key points in the adoption process, such as the
time from termination of parental rights (TPR) to a finalized adoption.
Data composites will ensure that the data component of a
State's performance with regard to a particular domain will not depend
on one measure. For example, a State's performance regarding the data
composite for the domain of timeliness to adoption may be uneven, with
performance higher in one area than in another. However, overall
performance on the composite may be high. Thus, the data composite will
account for both the strengths and weaknesses that a State exhibits
within a particular domain.
Data composites are being used by the Federal government
to assess other programs. For example, composite measures are being
developed and used for the No Child Left Behind initiative. In
addition, composite measures have been used to evaluate the performance
of hospitals in various health-related domains.
II. Analysis and Decisions
ACF published a Federal Register notice presenting proposed data
composites and performance areas for each composite on November 7,
2005, with a 30-day public comment period. We received 66 letters from
State and local child welfare agencies, national and local advocacy
groups, researchers, State and local courts, and national associations
representing groups of practitioners. ACF's final decisions regarding
the composites are presented below. These decisions are based on our
review of comments from the field, our data analyses, and the
principles and objectives of the Social Security Amendments of 1994 and
the Adoption and Safe Families Act (ASFA) of 1997.
A. ACF Will Replace the Existing Six Data Measures Used for the First
Round of the CFSR With Four Data Composites and Two Single Measures
The majority of respondents to the Federal Register notice
expressed support for our proposal to use data composites as part of
the assessment of a State's substantial conformity with the
requirements of the CFSR. A few respondents expressed concern about the
potential burden to the States involved in revising their data systems
to provide data for the composites. However, the composites will not
require States to revise their basic data systems because all data
necessary for the composites come from existing AFCARS or NCANDS data
elements. Also, because States submit the NCANDS Child File on a
voluntary basis, the CFSR regulation allows us to accept data from an
alternative source from those States that do not submit the Child File
to NCANDS. However, for the second round of the CFSR, the use of
alternative data sources applies only to measures calculated from data
reported to the NCANDS Child File. It does not apply to measures
calculated from data reported to AFCARS.
A few respondents expressed concern that the composite approach
would make it difficult for States to track their own performance in
specific areas and to identify those areas where improvements may be
needed. To assist States in tracking their performance on the
composites, we will provide them with a State Data Profile that
presents information on all of the individual performance areas
included in the composites as well as the composite scores.\1\ The
State Data Profile also will include information pertaining to the
relative contribution (or weight) of a variable to the composite.
Attachment A itemizes the data that will be included in the State Data
Profile to be provided to each State. ACF will provide States with the
syntax used for establishing each of the performance areas and
calculating the composite scores. In addition, we will ensure that
technical assistance is available to States in developing the tools
necessary to track their performance.
---------------------------------------------------------------------------
\1\ Several States requested that ACF continue to report data
pertaining to the six data measures used in the first round of the
CFSR. This information will be provided in the State Data Profile.
---------------------------------------------------------------------------
[[Page 32971]]
Although ACF initially intended to replace the six data measures
with six data composites, we have decided to use two single measures
that are similar to those used in the first round of the CFSR to assess
State performance with regard to CFSR safety outcome 1--Children are,
first and foremost, protected from abuse and neglect. We made the
decision not to develop safety composites for the following reasons:
Many respondents to the Federal Register notice expressed
concern about the usefulness and appropriateness of the new measures
proposed for the safety-related composites.
A review of the data for the measures revealed potential
problems with consistency in State reporting, particularly with regard
to how States defined certain data elements.
The results of the data analyses for the composites did
not provide strong support for inclusion of some of the measures
proposed for the composite.
Additional information relevant to our decision to eliminate
particular measures is provided in the section of this Announcement
pertaining to CFSR Safety Outcome 1.
B. ACF Used Principal Components Analysis To Develop the Composites
ACF identified and implemented the methodology for establishing
data composites in consultation with an internationally known expert
statistician. Our goal was to increase the amount of pertinent
information that would be considered in assessing a State's performance
with regard to particular outcomes without increasing the number of
measures that would be subject to a national performance standard. We
reviewed with our expert consultant all possible statistical
methodologies and determined that a principal components analysis was
the most appropriate data analysis method for achieving our goal.
Principal components analysis is a commonly used statistical
technique for reducing a large set of variables into a smaller set by
combining highly inter-correlated variables. Use of this analysis is
based on two basic psychometric principles of measurement: (a) A test
with more questions is more reliable; and (b) combining related scores
into a composite score results in a more reliable and valid score than
the individual scores on which the composite is based. Each variable in
the set is given a weight in accordance with its relative importance to
the overall composite. (See attachment B for more information on this.)
These sets, or principal components, usually are more stable and easier
to interpret than individual variables because they incorporate several
variables that are related to one another but also capture unique
information.
The principal components analyses conducted to generate the
composites were closely guided by our expert consultant and were
systematic and conservative in nature. The analyses generated valid and
meaningful results that exceed the minimum requirements of
acceptability for this analytical technique. Decisions made regarding
the composites were based on the empirical data resulting from the
analyses. Consequently, we believe that the composites established will
enhance the assessment of State performance.
A few respondents questioned whether a principal components
analysis methodology was appropriate and requested an opportunity to
review the details of the methodology and to provide comment on the
appropriateness of the methodology. Because the methodology used is
based on a sound and widely accepted statistical process, we will not
be submitting it for comment from the field. Many of the concerns
expressed by respondents are the result of a lack of understanding of
principal components analysis. The specifics regarding these concerns
are addressed in attachment B, which also provides a description of how
the methodology was used in generating the composites.
ACF understands that our composite approach represents a new
conceptual framework for many States. Therefore, we will conduct
orientation sessions with States in each ACF region to familiarize them
with the composites and the methodology prior to implementing the next
round of the CFSR. In addition, the data set used for the principal
components analyses and the syntax used to construct the composites
will be made available to States.
C. Wherever Possible and Appropriate, the Data Composites Incorporate a
Combination of Longitudinal Measures That Follow a Cohort of Children
Over Time, Measures That Capture Outcomes Experienced by Children
Exiting Foster Care in a Given Year, and Measures That Assess the
Status of Children in Foster Care Within a Particular Timeframe
Several respondents recommended that all measures in the data
composites should be longitudinal measures that follow a cohort of
children over time to establish timeliness of permanency and placement
stability. These respondents suggested that such measures, particularly
those that follow a cohort of children entering foster care, reflect a
more accurate picture of State performance in these areas than do other
types of measures. However, several other respondents expressed support
for maintaining the measures used in the first round of the CFSR that
capture outcomes experienced by children exiting foster care in a given
year. As one of these respondents noted, ``I have heard and studied
much of the criticism (of the six indicators), but I find much of the
criticism to be without merit. * * * the six indicators have served us
very well here in (State).''
To address both perspectives, we have included as many longitudinal
measures as possible in the composites along with other types of
measures. Some respondents expressed concern that AFCARS does not
permit a longitudinal analysis that crosses over fiscal years. This is
not true. We currently can and have used AFCARS data to assess children
across years--i.e., children entering or exiting foster care in one
year can be followed in subsequent years. However, our ability to
conduct longitudinal analysis for the CFSR is restricted somewhat by
the timeframes of the CFSR and, in particular, the need to have data
that reflect both a recent level of performance and change in
performance during the period of program improvement. For example, the
data used at the time of the second round of the CFSR for a given State
cannot overlap with a State's Program Improvement Plan (PIP)
implementation period. Within the context of the CFSR timeframes, it is
not feasible to follow children for longer than a 12-month period and
no measure can incorporate more than four AFCARS reporting periods (2
years).
Given this situation, most of the final composites include a
combination of types of measures. ACF believes that each type of
measure contributes to an understanding of State performance from a
particular perspective. We have used the principal components analyses
to determine the relative contribution of each type of measure to the
overall composite. (See attachment B for more information on this
issue.) Specific information about decisions pertaining to the types of
measures incorporated in each composite is provided in the discussion
of the individual composites.
D. ACF Will Use the Data Composites for the Second Round of the CFSR
Many respondents to the Federal Register notice, while indicating
support for the data composite approach, proposed that ACF ``pilot
test'' this approach during the second round of the CFSR and not
implement
[[Page 32972]]
this approach for assessment purposes until a later round of the CFSR.
However, because the methodology used for establishing the composites
is statistical rather than theoretical, the concept of a pilot test is
not applicable. For example, the process of conducting the CFSR was
initially piloted in 14 States to test whether the procedures (e.g.,
Statewide Assessment, case reviews, and stakeholder interviews) were
appropriate and yielded the desired information. Although this process
is valid for testing the utility of procedures, it is not applicable to
data composites, which are derived from a statistical analysis of data
submitted by the States to AFCARS.\2\ However, the quality of the data
submitted by the States to these Federal systems may be an issue for
some States. ACF strongly encourages States to assess the quality of
the data that they report to these systems and to improve the quality
if any problems are identified. In addition, ACF will continue to
provide guidance to States, either directly or through ACF's resource
center, the National Resource Center for Child Welfare Data and
Technology, in improving the quality of the data submitted to AFCARS.
---------------------------------------------------------------------------
\2\ The composites pertain to permanency only and therefore do
not involve data from NCANDS.
---------------------------------------------------------------------------
Instead of a ``pilot,'' ACF conducted a replication of the
principal components analyses on data from prior years to examine
whether the resulting component structures exhibit stability over time.
The composites were constructed with the focus on data from fiscal year
(FY) 2004. Data from FY 2003 were incorporated for the measures
involving long-term longitudinal analysis. ACF conducted two
replications of the principal components analysis on data reported to
AFCARS relevant to FY 2002/2003 and FY 2001/2002. The results of this
replication indicate that there is a clear and stable structure in the
data to support the use of the composites as a meaningful component of
the CFSR assessment of State performance.
E. ACF Will Establish National Standards for the Two Independent
Measures and for Each of the Four Composites
Many respondents to the Federal Register notice recommended that
ACF not establish national standards for the data indicators used in
the next round of the CFSR. They proposed that ACF assess performance
based on continuous improvement on the data measures over time within
an individual State.
After consideration of this recommendation, ACF decided to maintain
the practice of establishing national standards for the CFSR and to
continue to use the standards as part of the assessment of a State's
substantial conformity with outcomes pertaining to safety and
permanency. The reasons for this decision are the following:
ACF initially established national standards for each of
the six CFSR data measures as desired national goals for the field with
regard to achieving safety and permanency for children. We believe that
setting national goals for the field is an important part of ensuring
that Federal, State, and local agencies remain focused on achieving the
highest level of results for children who come into contact with the
nation's child welfare systems.
Because the national standards for the first round of the
CFSR were based on the distribution of performance across States, they
are relative rather than absolute. By setting the standard at the 75th
percentile (as adjusted for sampling error and for normality of
distribution), we believe that the goals represented by the standards
are realistic and attainable and that, by establishing standards, ACF
is promulgating the expectation that States make concerted efforts to
achieve these goals.
The assessment of a State's performance on its individual
PIP is, and will continue to be, based on change in an individual
State's performance over time rather than on whether the State meets
the national standard. With regard to the national data measures, ACF
has not required that a State meet the national standard in order to
avoid financial penalties, only that the State demonstrate an agreed-
upon amount of progress in moving toward the standard.
The primary concern raised by respondents to the Federal Register
notice that pertained to the issue of national standards was that the
standards involve a comparison among States that is not valid because
variations in State practices, statutes, and policies often impact the
comparability of performance on a particular measure. ACF acknowledges
that variations in policies and statutes can affect comparability and
has attempted to address these variations both in the new measures
proposed for the composites and in the use of composites themselves.
The standards were calculated using data pertaining to State
performance in FY 2004, with data from FY 2003 included when there is a
measure requiring a longitudinal analysis that spans fiscal years. When
the performance of individual States is considered with regard to the
national standards, we will ensure that the State data pertain to time
periods that are after completion of the PIP implementation period.
F. ACF Will Not Establish Separate National Standards Based on
Variations Across States With Regard to the Age or Race/Ethnicity of
Children in Foster Care, or Whether the Reason for Entering Foster Care
Was Maltreatment or the Child's Behavior
Many respondents to the Federal Register notice suggested that ACF
should assess performance on the composites and the measures to
determine whether there are differences in performance as a result of
children's age, race/ethnicity, or reasons for entering foster care and
that the national standards should be adjusted accordingly. For
example, respondents noted that older children are more likely to
experience placement changes than younger children, and therefore,
States that have a relatively high percentage of older children
entering the foster care population could not be expected to perform as
well on measures of placement stability as other States.
We are not establishing separate performance standards for children
of different ages, races, or reasons for entering foster care.
Consistent with the tenets of the Adoption and Safe Families Act and
with the best interests of children, all children have the same need
for safety, placement stability, and timely permanency. Rather, this
type of analysis is best left to the States to further examine the
characteristics of their own child welfare populations as part of their
Statewide Assessment.
A few respondents to the Federal Register notice also suggested
that rather than adjust the national standards, the measures for the
permanency-related composites should apply only to children who enter
foster care as a result of abuse or neglect. ACF decided not to exclude
children from the measures who enter foster care for reasons other than
child maltreatment. We believe that all children who are in the custody
of the State child welfare agency and who are reported to AFCARS share
the same needs for permanency and placement stability regardless of
their reason for entering care.
III. Data Measures and Composites
In this section, we present the measures and composites that will
be used in the next round of the CFSR. We also identify and discuss the
critical
[[Page 32973]]
features of each measure and composite and address key comments
concerning the measures and composites received in response to the
Federal Register notice. Table 1 provides summary information regarding
all of the composites, measures, and national standards to be used in
the second round of the CFSR.
A. CFSR Measures That Will Be Used as Part of the Assessment of
Substantial Conformity With CFSR Safety Outcome 1--Children Are, First
and Foremost, Protected From Abuse and Neglect
Two individual measures rather than composites will be used as part
of the assessment of substantial conformity with CFSR Safety Outcome 1.
These measures are the following:
Recurrence of maltreatment. Of all children who were
victims of substantiated or indicated abuse or neglect during the first
6 months of the reporting year, what percent did not experience another
incident of substantiated or indicated abuse or neglect within a 6-
month period?
Maltreatment of children in foster care. Of all children
in foster care during the reporting period, what percent were not
victims of a substantiated or indicated maltreatment by foster parents
or facility staff members?
Key Features of the Measures
These measures are similar to those used in the first round of the
CFSR. The only difference is that the focus has shifted from the
occurrence of maltreatment to the absence of maltreatment. We made this
change for the following reasons:
Respondents to the Federal Register notice and others in
the field recommended that all data measures address performance from a
positive perspective.
The composite measures pertaining to permanency and
placement stability are all in the same direction with higher scores
meaning higher levels of performance. We believe that assessing all
data in the same direction will simplify the interpretation of State
performance with regard to the national data.
Although there was general support from the field for the proposed
measure of recurrence of maltreatment, some respondents suggested that
the measure be restricted to maltreatment recurrence involving the same
perpetrator and the same type of abuse. ACF decided not to make this
change because children should be protected from continued maltreatment
within a 6-month period even if the perpetrator is the mother in one
incident, for example, and the father or grandmother in another
incident, or if the perpetrator is the same but the maltreatment is
neglect in one incident and physical abuse in another.
Respondents also questioned whether and, if so, how the measure of
recurrence will incorporate maltreatment allegations that are referred
for an ``alternative response.'' Alternative response usually refers to
the practice implemented by several States in which a maltreatment
allegation that is believed to involve low risk of harm to the child is
referred to an agency for an assessment to determine whether the family
is in need of services. In these situations, the allegation is not
referred for a formal child abuse and neglect investigation. We
determined that it is not possible to include maltreatment allegations
that are referred for an alternative response in the measure of
maltreatment recurrence because the majority of States that implement
this approach do not make a disposition as to whether the allegation is
substantiated or indicated.
Although respondents to the initial Federal Register notice also
expressed support for the measure of maltreatment of children in foster
care by foster parents or facility staff members, some suggested that
the measure include maltreatment by relative caregivers. It already
does this. The maltreatment in foster care measure includes
perpetrators who are relative foster parents, non-relative foster
parents, and group home or residential facility staff. It does not
include perpetrators who are relative caregivers taking care of
children who are not in foster care. NCANDS's current definition of
``foster parent'' is ``an individual licensed to provide a home for
orphaned, abused, neglected, delinquent, or disabled children, usually
with the approval of the government or a social service agency. This
individual may be a relative or a non-relative.''
The final two measures to be associated with the assessment of CFSR
Safety Outcome 1 represent those that remained after we excluded the
other measures initially proposed in the Federal Register notice. ACF
decided to exclude the other proposed measures based on feedback from
the field and the results of our review of the data and our data
analyses. The measures excluded and reasons for exclusion are described
below:
Measure of multiple unsubstantiated maltreatment
allegations. In the November 7th Federal Register notice, ACF proposed
a safety-related measure assessing the performance area of multiple
unsubstantiated maltreatment reports. This was based on the findings of
several research studies indicating that many children who are the
subject of multiple unsubstantiated allegations actually experience
maltreatment. However, almost all respondents recommended eliminating
this performance area from the CFSR assessment. They noted that the
measure is problematic because of State variations in practices and
procedures relevant to substantiation. A particular concern was that
many States do not differentiate in their dispositions between
unsubstantiated allegations and allegations that are found to be
intentionally false or without merit. Consequently, there would be no
way to exclude the latter types of allegations from the assessment in
all States.
Measure of timeliness of initiating investigations of
maltreatment allegations. In the Federal Register notice, ACF proposed
a measure of timeliness of initiating investigations of maltreatment
allegations, with initiation defined as establishing face-to-face
contact with the child who is the subject of the allegation and with
the family. The measure was designed to address the proposition that
investigations that are initiated quickly are more likely to ensure the
safety of children than investigations that are not initiated quickly.
We decided to exclude this measure primarily because the results of our
data analyses did not support its inclusion and because it was not
clear from the data that States were defining either the starting point
(i.e., receipt of the allegation) or the end point (i.e., initiation of
investigation) of the proposed measure in a consistent manner. In
addition, most respondents expressed concern that such a measure would
result in the Federal government setting policy for the States with
regard to timeliness of initiating an investigation.\3\ However,
because timeliness of investigations will continue to be part of the
CFSR case review assessment, we have decided to provide data relevant
to State performance in this area in the State Data Profile without an
associated national standard. We will require that States address their
performance in this area in their Statewide Assessment.
---------------------------------------------------------------------------
\3\ Some respondents raised concern that the proposed timeliness
to investigation measures did not reflect the prioritization and
classification systems based on the perceived risk of harm to the
child that some States have developed for establishing timeframes
for responding to maltreatment allegations.
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Measure of timeliness of dispositions of maltreatment
reports.
[[Page 32974]]
ACF initially proposed this measure because of our concern that a child
welfare agency may not be able to address the safety of the child fully
until an investigation is completed and a disposition is made. We
decided to exclude the measure from the composite analysis because the
majority of respondents indicated that State child welfare agencies are
able to provide the necessary services and conduct adequate safety and
risk assessment prior to a formal disposition, and that often a
disposition is a court decision that is made after the agency has
already intervened with the family to ensure safety and address risk
issues.
Measure of maltreatment of children in foster care by
their parents. We proposed this measure as a result of an unanticipated
finding in our initial data review that for many of the children who
were reported as being victims of maltreatment when they were in foster
care, the perpetrator was identified as the parent. However, almost all
respondents to the Federal Register notice expressed concern that
because States report to NCANDS the report date rather than the
incident date of a maltreatment allegation, the measure would capture
incidents of maltreatment by parents that were received while the child
was in foster care but that actually occurred before the child entered
foster care. We initially attempted to address this problem by
excluding from the measure reports received during the first 30 days
that a child was in foster care. However, respondents did not agree
that this would be sufficient to resolve the problem. Although NCANDS
now includes a data element that asks States to report the date of the
maltreatment incident as well as the date the report was received,
States are not yet using that data element on a consistent basis. ACF
has decided to report data on this measure to the States in the State
Data Profile. We believe that States may not be aware of the extent of
this problem and that by providing these data we will encourage them to
use the NCANDS data element pertaining to the date of the maltreatment
incident to assess whether children are victims of maltreatment by
their parents while they are in foster care.
B. CFSR Composites and Measures That Will Be Used as Part of the
Assessment of a State's Substantial Conformity With CFSR Permanency
Outcome 1--Children Have Permanency and Stability in Their Living
Situations
Four data composites will be used as part of the assessment of
State performance in achieving CFSR Permanency Outcome 1. A composite
reflects the general domain that is assessed by the data. The four
composites are: Permanency Composite 1: Timeliness and permanency of
reunifications; Permanency Composite 2: Timeliness of adoptions;
Permanency Composite 3: Achieving permanency for children in foster
care for extended periods of time; and Permanency Composite 4:
Placement stability. Information pertaining to construction of the
composites is provided in attachment B.
Each composite comprises one or more components, depending upon the
results of the data analysis. Components are the general factors that
contribute to the composite score. If a composite has two components,
each one contributes 50 percent to the composite score. If a composite
has three components, each one contributes 33.3 percent to the
composite score.
Each component comprises one or more measures. The measures provide
the actual data for the analysis. The contribution of each measure
(also called the weight) to the component score is determined by the
principal components analysis and is presented in attachment B. The
general structure of each composite with regard to the number of
components and the number of measures, a summary of the data for each
measure, and the national standards are presented in table 1.
1. Permanency Composite 1: Timeliness and Permanency of Reunifications
The principal components analysis of the measures proposed for this
composite yielded a composite comprised of two components. One
component pertains to timeliness of reunifications. This component
includes three measures. The other component pertains to the permanency
of reunifications and includes one measure. Each component has a unique
score and contributes 50 percent to the final composite score.
Information regarding the contributions of individual measures to the
component score is provided in attachment B. Composite scores represent
the conversion of z-scores to a scale ranging from 50 to 150.
Component 1: Timeliness of Reunification
For the CFSR data measures, reunification occurs if the child is
reported to AFCARS as discharged from foster care and the reason for
discharge is either ``reunification with parents or primary
caretakers'' or ``living with other relatives.'' The score for the
timeliness of reunification component of Permanency Composite 1 was
derived from State performance on the following measures:
Of all children discharged from foster care to
reunification in FY 2004 who had been in foster care for 8 days or
longer, what percent were reunified in less than 12 months from the
date of the latest removal from home? In calculating this measure, the
following children are included in the numerator: (1) Children who were
discharged from foster care to a reunification in less than 12 months
from the date of removal from home; and (2) children who were
discharged from foster care to a reunification who were reported to
AFCARS as being placed in a Trial Home Visit in less than 11 months
from the date of removal from the home and who remained in that
placement until discharge from foster care to reunification.
Of all children exiting foster care to reunification in
2004 who had been in foster care for 8 days or longer, what was the
median length of stay in months from the date of the most recent entry
into foster care until the date of reunification? For this measure, the
length of stay in foster care of a particular child was assessed in two
ways: (1) The length of stay in months from the date of removal from
the home to the date of discharge from foster care to reunification; or
(2) the length of stay in months from the date of removal from the home
to the date that the child was reported to AFCARS as being placed in a
Trial Home Visit, if the trial home visit lasted longer than 30 days
and was the last placement setting before the child's eventual
discharge from foster care. The score for this measure was adjusted to
reflect a positive direction with higher scores indicating higher
performance. This is explained further in attachment B.
Of all children entering foster care for the first time in
the second 6 months of FY 2003 who remained in foster care for 8 days
or longer, what percent were reunified in less than 12 months of the
date of entry into foster care? In calculating this measure, the
following children are included in the numerator: (1) Children who
entered foster care in the second 6 months of FY 2003 who were
discharged from foster care to reunification in less than 12 months
from the date of entry into foster care; and (2) children who entered
foster care in the second 6 months of FY 2003 who were reported to
AFCARS as being placed in a Trial Home Visit in less than 11 months
from the date of entry into foster care and remained in the trial home
visit until discharge to reunification.
[[Page 32975]]
The contribution (weight) of each of these measures to the
component score is determined by the coefficient resulting from the
principal components analysis. The actual score is multiplied by the
coefficient to achieve the actual score. This is explained further in
attachment B.
Component 2: Permanency of Reunification
The score for the permanency of reunification component of this
composite was derived from State performance on the following measure:
Of all children exiting foster care to reunification in FY
2003, what percent re-entered foster care in less than 12 months?
As noted above, the score for this measure contributes 50 percent
to the final composite score. The actual score for this measure was
adjusted to reflect performance in a positive direction so that a
higher score reflects higher performance. This is explained further in
attachment B.
Key Features of the Components and Measures
Adjustments to the Measures
As indicated in the information above, all measures assessing the
timeliness of reunification component are adjusted to exclude children
who were not in foster care for 8 days or longer. The calculation of
the measures also is adjusted to include children who are placed in a
trial home visit prior to discharge from foster care to reunification
if the trial home visit meets specific conditions (as noted in the
description of the calculation of the measures above). Most respondents
to the Federal Register notice who commented on these adjustments
expressed support for them.
ACF proposed that the measure of timeliness of reunification should
include only children who were in foster care for 8 days or longer in
order to address variation in State practices and policies concerning
the placement of children in very short term foster care. We believe
that for the most part, the kinds of case practices and agency efforts
necessary to achieve a timely reunification for a child who has been
removed from home and placed in foster care are not usually applicable
for these very short-term placements. Initially, we also proposed a
measure that required that a child be in foster care for 30 days or
longer in order to be included in the analysis. This measure was
eliminated from the composite after the principal components analysis
revealed a very high correlation between the 30-day and 8-day
adjustment measures, suggesting that the measures capture the same
information. In addition, there was more support among respondents to
the Federal Register notice for the 8-day measure than there was for
the 30-day measure. To assist States in understanding how this
adjustment impacts their performance, we will provide data in the State
Data Profile regarding the percentage of children entering foster care
in a fiscal year who are discharged from foster care in less than 8
days after the date of removal from the home.
ACF initially proposed the trial home visit adjustment to the
measures of timeliness of reunification in order to address variations
in State policy regarding returning children to their families
(parents, relatives, or other caretakers) for a period of time before a
discharge from foster care. This practice often is referred to as
``physical reunification'' to distinguish it from a reunification in
which custody is transferred to the parents or relatives. For the most
part, the purpose of this practice is to monitor and assist families in
the reintegration process. This practice may be required in State
statute, written into agency policy, or reflect standard case practice
in a State.
Many respondents recommended that for purposes of the CFSR, ACF
should consider ``physical reunification'' as equivalent to a discharge
from foster care to reunification. We are unable to do this because the
CFSR data profile considers children as reunified only if there is a
discharge from foster care and if the discharge reason reported to
AFCARS is ``return to family'' or ``live with relatives.'' Once
discharged, the child is no longer reported to AFCARS, unless the child
re-enters foster care. There is no data element in AFCARS that would
allow us to know specifically that a child has been physically
reunified.
We believe that the trial home visit adjustment we have made to the
measures of timeliness of reunification captures information about the
time in foster care of most children who were physically reunified
prior to an actual discharge from foster care. States that return
children to their families prior to discharge usually report them as
being in a ``Trial Home Visit,'' which is one of the placement
categories in AFCARS, although they may not actually consider the
placement a ``trial.'' Through a review of the data, we determined that
a trial home visit placement of longer than 30 days that resulted in an
eventual discharge to reunification captures the vast majority of
instances that may be considered ``physical reunification.'' Therefore,
we incorporated into the measure the time span from the date of entry
into foster care to a placement in a Trial Home Visit (as reported in
AFCARS) that was longer than 30 days and that was the final placement
before the child was discharged from foster care with a discharge
reason of return to family or live with relatives.
Timeframe for Reunification
Several respondents expressed concern that most of the measures
proposed for this composite continue to focus on 12 months as the
appropriate time period for assessing timeliness of reunification.
These respondents suggested that a 12-month timeframe is not sufficient
in many cases to achieve reunification, particularly for families in
which parental substance abuse was a key reason for a child's removal
from the home. They noted that 12 months is not sufficient for a parent
to receive and complete substance abuse treatment services. These
respondents recommended that the timeframe be extended to either 18 or
24 months to reflect the reality of many of the families whose children
are in foster care.
ACF acknowledges that it is not always feasible or desirable for
all children to be reunified with their families in less than 12 months
and we have no expectation that this goal will be accomplished for 100
percent of the children who are eventually reunified. However, we
believe that the focus of the measure on reunifications occurring in
less than 12 months emphasizes the responsibility of child welfare
agencies to return children to safe homes as quickly as possible. This
includes working quickly and intensively with parents with difficult
issues such as substance abuse to address the problems that resulted in
the child's removal from home. In addition, we have incorporated a
measure of median length of stay in foster care to reunification that
does not specify a 12-month timeframe.
Inclusion of Three Measures in the Timeliness of Reunification
Component
Several respondents to the Federal Register notice suggested that
the measure of reunification that follows an entry cohort of children
is sufficient to capture State performance with regard to timeliness of
reunification. They expressed the opinion that other measures of
timeliness are not necessary, and in fact, are not valid in assessing
timeliness. From the beginning of this process, ACF determined that the
decision regarding the measures to be incorporated in the
[[Page 32976]]
composite would be based primarily on the empirical results of the
principal components analyses. For the timeliness of reunification
component, the results of the analysis revealed that, although there is
overlapping information, each of the three measures chosen for the
composite makes a substantial contribution to explaining the variation
in performance regarding timeliness (see attachment B for the results
of the analysis). For example, the entry cohort measure only captures
information about children who enter foster care in the second 6 months
of the year who are reunified in less than 12 months of the time of
entry into foster care. It does not provide information about what
happens to the children who are not reunified in that time frame. As
indicated in table 1, the median across States for the percentage of
children entering foster care in the second six months of a fiscal year
who are reunified in less than 12 months is 35.1 percent. This
indicates that there are substantial numbers of children who are not
reunified in less than 12 months of entering foster care. Although no
measure is ideal, we believe that by combining all three measures in
the timeliness of reunification component we are able to incorporate a
broader picture of State performance with regard to reunifying children
in a timely manner than we are able to capture with any single measure.
We acknowledge, however, that an entry cohort approach would be
able to capture a wider range of information if each entry cohort for
each year could be followed for several years. Although the timeframe
for the CFSR precludes this type of analysis, it is possible for a
State to use a multiple year entry cohort analysis to assess its own
performance and progress. We also are aware that there are statistical
procedures available to estimate the percentage of children entering
foster care who are likely to be reunified within various timeframes.
However, because the CFSR can result in penalties for a State, ACF
determined that estimates of performance with regard to achieving
particular outcomes are not appropriate. Most respondents to the
Federal Register notice agreed with this determination and did not want
the CFSR to use measures requiring statistical projections.
Inclusion of a Measure of Foster Care Re-Entry As Part of the
Reunification Composite
As noted in the Federal Register notice, ACF proposed that State
performance with regard to children re-entering foster care in less
than 12 months of a prior foster care episode would be incorporated
into the composite assessing the timeliness and permanency of
reunification. In the first round of the CFSR, the re-entry measure was
assessed separately from the timeliness of reunification measure.
Although ACF believes that it is important to reunify children with
their families as quickly as possible, we also believe that children
should not be reunified until sufficient changes are made to prevent
the child being removed from the home again. The majority of
respondents supported the inclusion of a measure of foster care re-
entry as part of a single composite assessing the timeliness and
permanency of reunification.
In addition, the measure of foster care re-entry that was used in
the first round of the CFSR has been revised to reflect a longitudinal
analysis. The new measure follows children who exited foster care to
reunification in one year to identify the percentage who re-enter in
less than 12 months of the time of exit. All respondents commenting on
this measure indicated support for this change.
2. Permanency Composite 2: Timeliness of Adoptions
The principal components analysis of the performance measures
proposed for the timeliness of adoption composite yielded three
components. One component pertains to the timeliness of adoptions of
children exiting foster care to adoption. The second component assesses
progress toward adoption of a cohort of children who have been in
foster care for 17 months or longer and therefore meet the ASFA time-
in-foster care requirements regarding the State filing for a
termination of parental rights and pursuing adoption unless there is an
exception.\4\ This may be found in section 475(5)(E) and (F) of the
Social Security Act. The third component pertains to the timeliness of
adoptions of a cohort of children for who are ``legally free'' for
adoption. Legally free means that there is a termination of parental
rights for each of the child's living parents.
---------------------------------------------------------------------------
\4\ ASFA requires State child welfare agencies to file a
petition to terminate parental rights and pursue adoption for a
child who has been in foster care for 15 of the most recent 22
months, unless an exception exists. A 17-month rather than a 15-
month timeframe was chosen for the measure because, in accordance
with ASFA, a child is considered to have ``entered foster care''
(for purposes of starting the clock for the 15 of 22 months) on the
earlier of:
(1) the first judicial finding that the child has been subjected
to abuse and neglect, or
(2) the date that is 60 days after the date on which the child
is removed from the home.
The 17 month time frame in the measure is used because AFCARS
does not collect information pertaining to the date of the first
judicial finding.
---------------------------------------------------------------------------
Each component has a unique score and each contributes 33.3 percent
to the final composite score. The contribution of the individual
measures to the score for each component is determined by the results
of the principal components analysis, as explained further in
attachment B. Data pertaining to the composite score and individual
measures are presented in table 1.
Component 1. Timeliness of Adoptions of Children Exiting Foster Care
The score for the component pertaining to timeliness of adoptions
of children exiting foster care was derived from performance on the
following measures:
Of all children who were discharged from foster care to a
finalized adoption in FY 2004, what percent was discharged in less than
24 months from the date of the latest removal from the home?
Of all children who were discharged from foster care to a
finalized adoption in FY 2004, what was the median length of stay in
foster care (in months) from the date of removal from the home to the
date of discharge? The actual score for this measure was adjusted to
reflect performance in a positive direction so that a higher score
reflects higher performance. This is explained further in attachment B.
The contribution of each of these measures to the component score
is provided in attachment B.
Component 2. Progress Toward Adoption of Children Who Have Been in
Foster Care for 17 Months or Longer
The score for the component assessing progress toward adoption of a
cohort of children who meet the ASFA time-in-foster care requirements
was derived from performance on the following measures:
Of all children in foster care on the first day of FY 2004
who were in foster care for 17 continuous months or longer, what
percent was discharged from foster care to a finalized adoption before
the end of the fiscal year?
Of all children in foster care on the first day of FY 2004
who were in foster care for 17 continuous months or longer, what
percent became legally free for adoption in less than 6 months from the
beginning of the fiscal year?
The contribution of each of these measures to the component score
is provided in attachment B.
[[Page 32977]]
Component 3: Timeliness of Adoptions of Children Who Are Legally Free
for Adoption
The score for the component assessing timeliness of adoptions for
children who are legally free for adoption was derived from performance
on the following measure:
Of all children who became legally free for adoption
during FY 2003, what percent were discharged from foster care to a
finalized adoption in less than 12 months of becoming legally free?
Key Features of Components and Measures
The timeliness of adoption composite does not include an entry
cohort measure.
Several respondents to the Federal Register Announcement expressed
concern that the proposed timeliness of adoptions composite did not
include an entry cohort measure--that is, a measure that follows
children longitudinally from the date of entry into foster care to the
date of the finalized adoption. As noted in the November 7th
Announcement, in determining appropriate measures to test for the
composite, our review of the data indicated that an entry cohort
approach to assessing the timeliness of adoptions is not feasible
within the timeframes of the CFSR. The reasons for this, which were
indicated in the Federal Register notice, are the following:
An extensive timeframe is required to follow a cohort of
children from entry into foster care to a finalized adoption and the
timeframe is not consistent with the CFSR timeframes. For example, in
following a cohort of children entering foster care in FY 2001,
meaningful data pertaining to adoptions did not emerge until 3 years
after the entry year.
Because not all children entering foster care will be
adopted, and because the number of children waiting to be adopted
changes each year, it is not possible to establish a stable denominator
for an entry cohort measure pertaining to timeliness of adoptions. In
following the FY 2001 cohort, for example, we found that the
denominator for assessing adoptions changed on an ongoing basis as
children in the original cohort were reunified or exited foster care
for other reasons.
Although it is possible to apply statistical methods to
historical data and estimate the ``likelihood'' of children who enter
foster are in a given year being adopted within particular timeframes,
ACF cannot use statistical projections to assess CFSR performance
because of the potential for financial penalties associated with CSFR
performance.
A few respondents suggested that the assessment of timeliness of
adoptions used by the CFSR will not be meaningful without an entry
cohort measure. However, we believe that the measures and components
for this composite that resulted from the principal components analysis
provide a comprehensive picture of State performance with regard to the
timeliness of adoption and capture meaningful information. Furthermore,
we believe that the three longitudinal measures of progress toward
adoption that were incorporated into the composite follow a cohort of
children but have a more stable denominator than an entry cohort
measure and a timeframe that is consistent with the CFSR.
Measures of Timeliness of Adoption of Children Discharged From Foster
Care to a Finalized Adoption
The measure assessing the percent of adoptions occurring in less
than 24 months of a child's entry into foster care is identical to the
adoption-related data measure used in the first round of the CFSR.
Support for this measure from the field was mixed. Some respondents
expressed strong support for the measure, while others suggested that
it be replaced by an entry cohort measure. Respondents expressed
similar differences of opinion regarding the measure of the median
length of stay of children discharged from foster care to adoption. In
general, the measures are intended to focus on timeliness of adoption
by considering children who have already experienced that outcome. One
measure does this by focusing on a specific timeframe (i.e., 24
months), while the other addresses the range of possible time periods,
with a focus on the median time in foster care. The results of the
principal components analysis indicate that taken together, these two
measures account for a large percentage of the variation in State
performance with regard to the timeliness of adoptions of a cohort of
children who have exited foster care to adoption.
Longitudinal Measures of a Cohort of Children Who Have Been in Foster
Care for 17 Months or Longer
The two measures that follow the progress toward adoption of a
cohort of children who have been in foster care for 17 months or longer
are intended to address the ASFA time-in-foster care requirement for
States to file for a termination of parental rights and pursue adoption
unless there is an exception. Several respondents to the Federal
Register notice suggested that many children who have been in foster
care for 17 months or longer will exit foster care to a permanency
option other than adoption or will meet the exceptions noted in ASFA.
They recommended, therefore, that these measures be limited to children
who have a case goal of adoption.
After consideration of this request, ACF decided to maintain the
denominator for these measures as all children in foster care for 17
months or longer at the start of the fiscal year. We acknowledge that
many of the children in foster care for 17 months or longer at the
start of the fiscal year may be discharged from foster care with a
discharge reason other than adoption. In addition, we know that some
children who are in foster care for 17 months or longer are likely to
meet the criteria for an exception to the ASFA requirement. However, if
we include in the measure only children who have a goal of adoption
reported to AFCARS, we will miss those children who have other goals,
but for whom adoption needs to be considered because of the length of
time they have been in foster care and because they do not meet the
criteria for an exception. Also, if we include in the measure only
children who have