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.