Proposed Information Collection; Comment Request; Generic Clearance for Internet Nonprobability Panel Pretesting, 37783-37784 [2013-14982]

Download as PDF Federal Register / Vol. 78, No. 121 / Monday, June 24, 2013 / Notices mstockstill on DSK4VPTVN1PROD with NOTICES linked data will be used to conduct research designed to help the Census Bureau improve its methods of collecting program participation data, as well as its record linking methods. This linkage will be accomplished using a unique linkage identifier called a Protected Identification Key (PIK). After the linkage is achieved, Personally Identifiable Information will be removed from the linked files. Processing to assign a PIK to each person record involves matching based on name, address, sex, date of birth, and Social Security Number (SSN) data. While States may share SSN for Nutrition Assistance recipients to improve the quality of the matching process, most Census Bureau surveys do not collect SSN thereby precluding an exact match. The validation of data processing and PIK process has been used by other internal and external Census Bureau research projects. Only Census Bureau staff conducting the record linkage will have access to files with the Personally Identifiable Information, and access to those files assigned a PIK will be limited to those with a need to know. The Census Bureau will return tabulated Nutrition Assistance data to the FNS and the participating State Agencies. This information will help FNS and the State Agencies develop better measures of poverty, analyze the demographic characteristics of participants, review enrollment rates for those eligible for assistance, and analyze the effects of state programs on a variety of outcomes. The Census Bureau will benefit by using the Nutrition Assistance data to improve its Title 13, U.S. Code (U.S.C), authorized censuses and surveys. The Census Bureau will evaluate the quality of the linked data to: Improve Census Bureau household survey coverage; provide a basis for improving Census Bureau demographic survey program participation questions; gain a greater understanding of data quality collected in Census Bureau household surveys on food assistance program participation, household composition and income; and evaluate and improve data linking software and techniques in USDA food assistance program participation research. II. Method of Collection The Census Bureau will contact the State Agencies to discuss the research proposal and use of state agency administrative records. The State Agencies will set up agreements with the Census Bureau to provide Nutrition Assistance data. The State Agency will transfer State nutrition administrative records to the Census Bureau via secure VerDate Mar<15>2010 18:13 Jun 21, 2013 Jkt 229001 File Transfer Protocol or appropriately encrypted CD–ROM or DVD–ROM. When the Census Bureau receives data from the source files, the data are processed to validate identifying information and unique person and address-matching identifiers appended. The administrative records data are then compared to current demographic survey data to evaluate coverage of the survey frame, assess data quality, and produce research papers. The Nutrition Assistance data will also be integrated into the Center for Administrative Records, Research and Applications (CARRA) administrative records infrastructure. III. Data OMB Control Number: None. Form Number: Information will be collected in the form of a data transfer to the Census Bureau. No form will be used. Type of Review: Regular submission. Affected Public: State governments. Estimated Number of Respondents: 51. Estimated Time per Response: 75 hours. Estimated Total Annual Burden Hours: 3,825 hours. Estimated Total Annual Cost: $80,325. Respondents Obligation: Voluntary. Legal Authority: Title 13 U.S.C. Section 6 and 8(b). IV. Request for Comments Comments are invited on: (a) Whether the proposed collection of information is necessary for the proper performance of the functions of the agency, including whether the information shall have practical utility; (b) the accuracy of the agency’s estimate of the burden (including hours and cost) of the proposed collection of information; (c) ways to enhance the quality, utility, and clarity of the information to be collected; and (d) ways to minimize the burden of the collection of information on respondents, including through the use of automated collection techniques or other forms of information technology. Comments submitted in response to this notice will be summarized and/or included in the request for OMB approval of this information collection; they also will become a matter of public record. Dated: June 19, 2013. Glenna Mickelson, Management Analyst, Office of the Chief Information Officer. [FR Doc. 2013–14987 Filed 6–21–13; 8:45 am] BILLING CODE 3510–07–P PO 00000 Frm 00009 Fmt 4703 Sfmt 4703 37783 DEPARTMENT OF COMMERCE U.S. Bureau of the Census Proposed Information Collection; Comment Request; Generic Clearance for Internet Nonprobability Panel Pretesting U.S. Census Bureau, Commerce. ACTION: Notice. AGENCY: SUMMARY: The Department of Commerce, as part of its continuing effort to reduce paperwork and respondent burden, invites the general public and other Federal agencies to take this opportunity to comment on proposed and/or continuing information collections, as required by the Paperwork Reduction Act of 1995, Public Law 104–13 (44 U.S.C. 3506(c)(2)(A)). To ensure consideration, written comments must be submitted on or before August 23, 2013. ADDRESSES: Direct all written comments to Jennifer Jessup, Departmental Paperwork Clearance Officer, Department of Commerce, Room 6616, 14th and Constitution Avenue NW., Washington, DC 20230 (or via the Internet at jjessup@doc.gov). FOR FURTHER INFORMATION CONTACT: Requests for additional information or copies of the information collection instruments(s) and instructions should be directed to Jennifer Hunter Childs, U.S. Census Bureau, 4600 Silver Hill Road, Washington, DC 20233–9150, (202) 603–4827 (or via the Internet at jennifer.hunter.childs@census.gov). DATES: SUPPLEMENTARY INFORMATION: I. Abstract The Census Bureau plans to request a new OMB generic clearance to conduct a variety of medium-scale iterative Internet research pretesting activities. A block of hours will be dedicated to these activities for each of the next three years. OMB will be informed in writing of the purpose and scope of each of these activities, as well as the time frame and number of burden hours used. The number of hours used will not exceed the number set aside for this purpose. The Census Bureau is committed to conducting research in a cost efficient manner. Currently, there are several stages of testing that occur in any research project the U.S. Census Bureau conducts. As a first stage of research, the Census Bureau pretests questions on surveys or censuses and evaluates the usability and ease of use of Web sites E:\FR\FM\24JNN1.SGM 24JNN1 mstockstill on DSK4VPTVN1PROD with NOTICES 37784 Federal Register / Vol. 78, No. 121 / Monday, June 24, 2013 / Notices using a small number of subjects during focus groups, usability and cognitive testing. These projects are in-person and labor intensive, but typically only target samples of 20 to 30 respondents. Often the second stage is a larger scale field test with a split panel design of a survey or a release of a Census Bureau data dissemination product with a feedback mechanism. These stages often involve a lot of preparatory work and often are limited in the number of panels tested due to the cost considerations. They are often targeted at very large sample sizes with over 10,000 respondents per panel. Cost efficiencies can occur by testing some research questions in a mediumscale test, using a smaller number of participants than what we typically use in a field test, yet a larger and more diverse set of participants than who we recruit for cognitive and usability tests. Using Internet nonprobability panel pretesting, we can answer some research questions more thoroughly than in the small-scale testing, but less expensively than in the large-scale test. This generic clearance seeks to establish a mediumscale (defined as having sample sizes from 100–2000 per study), cost-efficient method of testing questions and contact strategies over the internet through a nonprobability sample. For example, email has been identified as a possible cost-effective notification strategy for online data collection. Email has not been used extensively as a notification mode for past censuses nor other government surveys. Prior to implementing an email strategy, the Census Bureau needs to determine the best email invitation in order to maximize click-through rates. The numerous email variations would be cost prohibitive in a large-scale test. Medium-scale testing of email variations is more efficient. This generic clearance will be used to answer some fundamental questions about how to optimize email (and possibly text message) contacts. This research program will be used by the Census Bureau and survey sponsors to test alternative contact methods, including emails and text messages (via an opt-in strategy), improve online questionnaires and procedures, reduce respondent burden, and ultimately increase the quality of data collected in the Census Bureau censuses and surveys. The clearance will be used to conduct pretesting of decennial and demographic census and survey questionnaires as well as communications and/or marketing strategies and data dissemination tools for the Census Bureau prior to fielding them. The primary method of identifying measurement problems with VerDate Mar<15>2010 18:13 Jun 21, 2013 Jkt 229001 the questionnaire or survey procedure is split panel tests. This will encompass both methodological and subject matter research questions that can be tested on a medium-scale nonprobability panel. This research program will also be used by the Census Bureau for remote usability testing of electronic interfaces and to perform other qualitative analysis such as respondent debriefings. Advantages of using the remote, medium-scale testing is that participants can test products at their convenience using their own equipment, as opposed to using Census Bureau supplied computers. A diverse participant pool, whether that was geographically, demographically, or economically, is another advantage. Remote usability testing would use paradata, accuracy and satisfaction scores, and written qualitative comments to determine optimal interface designs and to obtain feedback from respondents. For the initial phase of this study, the public will be offered an opportunity to participate in this research remotely, by signing up for an online research panel. If a person opts-in, the Census Bureau will occasionally email (or text, if applicable) the person an invitation to complete a survey for one of our research projects. Invited respondents will be told the topic of the survey, and how long it will take to complete it. If the initial phase is successful, it will be followed by extended research, which will employ cold-contact emails to validate findings from the initial phase and expand the research. II. Method of Collection The Internet will be the primary method of data collection. Mail or phone prenotice and/or telephone follow-up may be used in some cases. III. Data OMB Number: None. Form Number: Various. Type of Review: Regular submission. Affected Public: Individuals or Households. Estimated Number of Respondents: 50,000. Estimated Time per Response: 10 minutes. Estimated Total Burden Hours: 8,333. Estimated Total Annual Cost: There is no cost to respondent, except for their time to complete the questionnaire. Respondent’s Obligation: Voluntary. Authority: 13 U.S.C. 131, 141, 161, 181, 182, 193, and 301. IV. Request for Comments Comments are invited on: (a) Whether the proposed collection of information is necessary for the proper performance PO 00000 Frm 00010 Fmt 4703 Sfmt 4703 of the functions of the agency, including whether the information shall have practical utility; (b) the accuracy of the agency’s estimate of the burden (including house and cost) of the proposed collection of information; (c) ways to enhance the quality, utility, and clarity of the information to be collected; and (d) ways to minimize the burden of the collection of information on respondents, including through the use of automated collection techniques or other forms of information technology. Comments submitted in response to this notice will be summarized and/or included in the request for OMB approval of this information collection; they also will become a matter of public record. Dated: June 19, 2013. Glenna Mickelson, Management Analyst, Office of the Chief Information Officer. [FR Doc. 2013–14982 Filed 6–21–13; 8:45 am] BILLING CODE 3510–07–P DEPARTMENT OF COMMERCE Foreign-Trade Zones Board [B–63–2013] Foreign-Trade Zone 65—Panama City, Florida; Application for Reorganization Under Alternative Site Framework An application has been submitted to the Foreign-Trade Zones (FTZ) Board by the Panama City Port Authority, grantee of FTZ 65, requesting authority to reorganize the zone under the alternative site framework (ASF) adopted by the FTZ Board (15 CFR Sec. 400.2(c)). The ASF is an option for grantees for the establishment or reorganization of zones and can permit significantly greater flexibility in the designation of new subzones or ‘‘usagedriven’’ FTZ sites for operators/users located within a grantee’s ‘‘service area’’ in the context of the FTZ Board’s standard 2,000-acre activation limit for a zone. The application was submitted pursuant to the Foreign-Trade Zones Act, as amended (19 U.S.C. 81a–81u), and the regulations of the Board (15 CFR part 400). It was formally docketed on June 18, 2013. FTZ 65 was approved by the FTZ Board on January 16, 1981 (Board Order 171, 46 FR 8072, 1/26/81), and expanded on March 3, 1987 (Board Order 343, 52 FR 7634, 3/12/87), and on September 25, 2009 (Board Order 1646, 74 FR 53216, 10/16/09). The current zone includes the following sites: Site 1 (125 acres)—Port Panama City Industrial E:\FR\FM\24JNN1.SGM 24JNN1

Agencies

[Federal Register Volume 78, Number 121 (Monday, June 24, 2013)]
[Notices]
[Pages 37783-37784]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 2013-14982]


-----------------------------------------------------------------------

DEPARTMENT OF COMMERCE

U.S. Bureau of the Census


Proposed Information Collection; Comment Request; Generic 
Clearance for Internet Nonprobability Panel Pretesting

AGENCY: U.S. Census Bureau, Commerce.

ACTION: Notice.

-----------------------------------------------------------------------

SUMMARY: The Department of Commerce, as part of its continuing effort 
to reduce paperwork and respondent burden, invites the general public 
and other Federal agencies to take this opportunity to comment on 
proposed and/or continuing information collections, as required by the 
Paperwork Reduction Act of 1995, Public Law 104-13 (44 U.S.C. 
3506(c)(2)(A)).

DATES: To ensure consideration, written comments must be submitted on 
or before August 23, 2013.

ADDRESSES: Direct all written comments to Jennifer Jessup, Departmental 
Paperwork Clearance Officer, Department of Commerce, Room 6616, 14th 
and Constitution Avenue NW., Washington, DC 20230 (or via the Internet 
at jjessup@doc.gov).

FOR FURTHER INFORMATION CONTACT: Requests for additional information or 
copies of the information collection instruments(s) and instructions 
should be directed to Jennifer Hunter Childs, U.S. Census Bureau, 4600 
Silver Hill Road, Washington, DC 20233-9150, (202) 603-4827 (or via the 
Internet at jennifer.hunter.childs@census.gov).

SUPPLEMENTARY INFORMATION: 

I. Abstract

    The Census Bureau plans to request a new OMB generic clearance to 
conduct a variety of medium-scale iterative Internet research 
pretesting activities. A block of hours will be dedicated to these 
activities for each of the next three years. OMB will be informed in 
writing of the purpose and scope of each of these activities, as well 
as the time frame and number of burden hours used. The number of hours 
used will not exceed the number set aside for this purpose.
    The Census Bureau is committed to conducting research in a cost 
efficient manner. Currently, there are several stages of testing that 
occur in any research project the U.S. Census Bureau conducts. As a 
first stage of research, the Census Bureau pretests questions on 
surveys or censuses and evaluates the usability and ease of use of Web 
sites

[[Page 37784]]

using a small number of subjects during focus groups, usability and 
cognitive testing. These projects are in-person and labor intensive, 
but typically only target samples of 20 to 30 respondents. Often the 
second stage is a larger scale field test with a split panel design of 
a survey or a release of a Census Bureau data dissemination product 
with a feedback mechanism. These stages often involve a lot of 
preparatory work and often are limited in the number of panels tested 
due to the cost considerations. They are often targeted at very large 
sample sizes with over 10,000 respondents per panel.
    Cost efficiencies can occur by testing some research questions in a 
medium-scale test, using a smaller number of participants than what we 
typically use in a field test, yet a larger and more diverse set of 
participants than who we recruit for cognitive and usability tests. 
Using Internet nonprobability panel pretesting, we can answer some 
research questions more thoroughly than in the small-scale testing, but 
less expensively than in the large-scale test. This generic clearance 
seeks to establish a medium-scale (defined as having sample sizes from 
100-2000 per study), cost-efficient method of testing questions and 
contact strategies over the internet through a nonprobability sample.
    For example, email has been identified as a possible cost-effective 
notification strategy for online data collection. Email has not been 
used extensively as a notification mode for past censuses nor other 
government surveys. Prior to implementing an email strategy, the Census 
Bureau needs to determine the best email invitation in order to 
maximize click-through rates. The numerous email variations would be 
cost prohibitive in a large-scale test. Medium-scale testing of email 
variations is more efficient. This generic clearance will be used to 
answer some fundamental questions about how to optimize email (and 
possibly text message) contacts.
    This research program will be used by the Census Bureau and survey 
sponsors to test alternative contact methods, including emails and text 
messages (via an opt-in strategy), improve online questionnaires and 
procedures, reduce respondent burden, and ultimately increase the 
quality of data collected in the Census Bureau censuses and surveys. 
The clearance will be used to conduct pretesting of decennial and 
demographic census and survey questionnaires as well as communications 
and/or marketing strategies and data dissemination tools for the Census 
Bureau prior to fielding them. The primary method of identifying 
measurement problems with the questionnaire or survey procedure is 
split panel tests. This will encompass both methodological and subject 
matter research questions that can be tested on a medium-scale 
nonprobability panel.
    This research program will also be used by the Census Bureau for 
remote usability testing of electronic interfaces and to perform other 
qualitative analysis such as respondent debriefings. Advantages of 
using the remote, medium-scale testing is that participants can test 
products at their convenience using their own equipment, as opposed to 
using Census Bureau supplied computers. A diverse participant pool, 
whether that was geographically, demographically, or economically, is 
another advantage. Remote usability testing would use paradata, 
accuracy and satisfaction scores, and written qualitative comments to 
determine optimal interface designs and to obtain feedback from 
respondents.
    For the initial phase of this study, the public will be offered an 
opportunity to participate in this research remotely, by signing up for 
an online research panel. If a person opts-in, the Census Bureau will 
occasionally email (or text, if applicable) the person an invitation to 
complete a survey for one of our research projects. Invited respondents 
will be told the topic of the survey, and how long it will take to 
complete it.
    If the initial phase is successful, it will be followed by extended 
research, which will employ cold-contact emails to validate findings 
from the initial phase and expand the research.

II. Method of Collection

    The Internet will be the primary method of data collection. Mail or 
phone prenotice and/or telephone follow-up may be used in some cases.

III. Data

    OMB Number: None.
    Form Number: Various.
    Type of Review: Regular submission.
    Affected Public: Individuals or Households.
    Estimated Number of Respondents: 50,000.
    Estimated Time per Response: 10 minutes.
    Estimated Total Burden Hours: 8,333.
    Estimated Total Annual Cost: There is no cost to respondent, except 
for their time to complete the questionnaire.
    Respondent's Obligation: Voluntary.

    Authority: 13 U.S.C. 131, 141, 161, 181, 182, 193, and 301.

IV. Request for Comments

    Comments are invited on: (a) Whether the proposed collection of 
information is necessary for the proper performance of the functions of 
the agency, including whether the information shall have practical 
utility; (b) the accuracy of the agency's estimate of the burden 
(including house and cost) of the proposed collection of information; 
(c) ways to enhance the quality, utility, and clarity of the 
information to be collected; and (d) ways to minimize the burden of the 
collection of information on respondents, including through the use of 
automated collection techniques or other forms of information 
technology.
    Comments submitted in response to this notice will be summarized 
and/or included in the request for OMB approval of this information 
collection; they also will become a matter of public record.

    Dated: June 19, 2013.
Glenna Mickelson,
Management Analyst, Office of the Chief Information Officer.
[FR Doc. 2013-14982 Filed 6-21-13; 8:45 am]
BILLING CODE 3510-07-P
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