Pathways for Advancing Careers and Education Evaluation, United States, 2011-2020 (ICPSR 37289)

Version Date: Jun 28, 2022 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
Abt Associates; David Fein, Abt Associates


Version V7 ()

  • V7 [2022-06-28]
  • V6 [2022-04-20] unpublished
  • V5 [2021-11-29] unpublished
  • V4 [2020-07-23] unpublished
  • V3 [2019-12-23] unpublished
  • V2 [2019-10-29] unpublished
  • V1 [2019-05-21] unpublished
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The Pathways for Advancing Careers and Education (PACE) study was designed to produce rigorous evidence for policymakers, practitioners, and researchers about the effectiveness of nine career pathways approaches that sought to increase credentials, employment, and self-sufficiency among low-income, low-skilled Americans. Funded by the U.S. Department of Health and Human Services' Administration for Children and Families, Office of Planning, Research, and Evaluation, PACE included nine program-specific evaluation reports. The study was led by Abt Associates, in partnership with MEF Associates, The Urban Institute, and the University of Michigan.

Each program-specific evaluation included an implementation study that examined the design and operation of the program and enrolled students' participation patterns, and an impact study that used an experimental design to measure differences in educational and employment outcomes between individuals randomly assigned to a group that could receive services from the PACE program (treatment group) and a group that could not but could participate in other services in the community (control group). Program impacts were measured 18 to 24 months following random assignment, depending on the program. Follow-up impact reports will cover three and six years after random assignment.

The collection includes the following 15 data files:

  • Analysis Data File (9,242 cases; 152 variables)
  • Basic Information Form Data File (9,242 cases; 79 variables)
  • Case Manager/Advisor Data File (108 cases; 223 variables)
  • Instructional Staff Data File (135 cases; 510 variables)
  • Manager/Supervisor Data File (41 cases; 202 variables)
  • First Follow-up Data File (7,139 cases; 1,432 variables)
  • Self-Administered Questionnaire Data File (9,242 cases; 96 variables)
  • 3 Year Updated Analysis Data File (9,242 cases; 1,676 variables)
  • Augmented Credentials Data File (5,862 cases; 29 variables)
  • Augmented Job Spells Data File (13,540 cases; 31 variables)
  • Augmented School Spells Data File (7,013 cases; 29 variables)
  • Job Conditions Data File (5,702 cases; 28 variables)
  • Person Level Data File (6,772 cases; 290 variables)
  • 6 Year Follow-up Survey Data File (3,279 cases; 322 variables)
  • 6 Year Updated Analysis Data File (3,279 cases; 177 variables)

Abt Associates, and Fein, David. Pathways for Advancing Careers and Education Evaluation, United States, 2011-2020. Inter-university Consortium for Political and Social Research [distributor], 2022-06-28.

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United States Department of Health and Human Services. Administration for Children and Families. Office of Planning, Research and Evaluation

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Access to these data is restricted. Users interested in obtaining these data must complete a Restricted Data Use Agreement, specify the reason for the request, and obtain IRB approval or notice of exemption for their research.

Inter-university Consortium for Political and Social Research

2011-11 -- 2020-09
2011-11-01 -- 2016-05-31 (Baseline and 18-month follow-up survey data collection efforts), 2011-11-01 -- 2014-12-31 (Enrollment and random assignment), 2015-03-01 -- 2018-05-31 (Three-year follow-up survey), 2018-03-01 -- 2020-09-30 (Six-year follow-up survey)
  1. For more information, please refer to the Administration for Children and Families (ACF) website.


Longitudinal: Cohort / Event-based

All participants enrolled in the Pathways for Advancing Careers and Education (PACE) study (N=9,295).


All study participants completed the Baseline Information Form (BIF) and Self-administered Questionnaire (SAQ)

Response rate for the 18-month follow-up survey was 77.2 percent

See data documentation.



2022-06-28 Updating DS1 with revised ID variable.

2022-04-20 Adding two new datasets (DS14, DS15) and the codebooks; updating title and documentation to reflect collection dates of new datasets.

2021-11-29 Adding new dataset; updating title and documentation to reflect collection dates of new dataset.

2020-07-23 This collection was updated to include standardized variable and value labels in the data and ICPSR codebooks. P.I. codebooks for DS1 "Analysis Data File", DS2 "Basic Information Form Data File", DS6 "Follow-up Data File", and DS7 "SAQ Recoded Data File" have been resupplied and will be included in the collection.

2019-12-23 The codebooks for part 1 "Analysis Data File", part 2 "Basic Information Form Data File, and part 6 "First Follow-up Data File" were removed.

2019-10-29 This collection was updated to include data files and ICPSR codebooks. The previous release only included P.I. documentation files (i.e., codebooks and survey instruments). These P.I. documentation files were also renamed to match the study part number of their corresponding data file.

2019-05-21 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Created variable labels and/or value labels.
  • Checked for undocumented or out-of-range codes.

To address survey nonresponse, the study team developed nonresponse weights, using a standard approach common in survey research. The study team estimated the response propensity for each member of the treatment and control sample, based on empirically selected baseline characteristics. They then sorted the sample in each study arm by the estimated response propensity and divided the sample into five equal-size groups (quintiles). Finally, within each arm and quintile, the study team calculated the empirical response rate, and then took the inverse to calculate the nonresponse-adjusted weight.

See the Year Up appendix for more detail.



  • The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.

  • One or more files in this data collection have special restrictions. Restricted data files are not available for direct download from the website; click on the Restricted Data button to learn more.