Measuring Human Trafficking
Prevalence in Construction: A Field Test of Multiple Estimation
Methods
No
material or nonsubstantive change to a currently approved
collection
No
Regular
07/12/2022
Requested
Previously Approved
09/30/2024
09/30/2024
2,100
2,100
1,050
1,050
0
0
To advance knowledge of promising
methods for estimating human trafficking prevalence, the Office of
Planning, Research, and Evaluation (OPRE), in collaboration with
the Office on Trafficking in Persons (OTIP), within the
Administration of Children and Families (ACF) at the U.S.
Department of Health and Human Services received Office of
Management and Budget (OMB) approval for a one-time survey of
construction workers in one U.S. geographic location. Study
findings will be used to inform future prevalence estimation
research as well as policy, programs, and practices intended to
prevent, identify, and respond to labor trafficking in the
construction industry. The survey will be administered to
construction workers in Houston, Texas. This study is not intended
to promote statistical generalization to other sites or industries.
Since OMB approved the study Measuring Human Trafficking Prevalence
in Construction: A Field Test of Multiple Estimation Methods,
programming and testing of the survey with construction workers
(n=5) has resulted in the need for modifications to improve the
quality of survey administration.
On behalf of this Federal agency, I certify that
the collection of information encompassed by this request complies
with 5 CFR 1320.9 and the related provisions of 5 CFR
1320.8(b)(3).
The following is a summary of the topics, regarding
the proposed collection of information, that the certification
covers:
(i) Why the information is being collected;
(ii) Use of information;
(iii) Burden estimate;
(iv) Nature of response (voluntary, required for a
benefit, or mandatory);
(v) Nature and extent of confidentiality; and
(vi) Need to display currently valid OMB control
number;
If you are unable to certify compliance with any of
these provisions, identify the item by leaving the box unchecked
and explain the reason in the Supporting Statement.