
Study design
Design:
Study group formation:
Time period of study:
Primary outcome domains examined:
Increase earnings, Increase short-term earnings, Increase employment, Increase short-term employment, Decrease short-term benefit receiptOther outcome domains examined:
Job qualityStudy funded by:
Results
Scroll to the right to view the rest of the table columns
Outcome domain | Measure | Timing | Study quality by finding | Comparison group mean | Intervention group mean | Impact | Units | Findings | Sample size |
---|---|---|---|---|---|---|---|---|---|
Increase short-term earnings | Total earnings over follow-up period | Quarters 1–3 |
High ![]() |
7,003.00 | 7,467.00 | 464.00 | 2017 dollars |
![]() |
477 |
Increase short-term employment | Currently employed | Month 6 |
High ![]() |
33.90 | 48.50 | 14.60 | percentage points |
![]() |
240 |
Increase short-term employment | Ever employed, quarterly | Quarter 3 |
High ![]() |
55.20 | 58.00 | 2.80 | percentage points |
![]() |
477 |
Decrease short-term benefit receipt | Amount of AFDC/TANF benefits, follow-up period | Quarters 1–2 |
High ![]() |
2,827.00 | 2,797.00 | -30.00 | 2017 dollars |
![]() |
479 |
Decrease short-term benefit receipt | Amount of Food Stamps/SNAP benefits, follow-up period | Quarters 1–2 |
High ![]() |
2,534.00 | 2,517.00 | -17.00 | 2017 dollars |
![]() |
479 |
Decrease short-term benefit receipt | Received AFDC/TANF, follow-up period | Quarters 1–2 |
High ![]() |
95.50 | 96.70 | 1.20 | percentage points |
![]() |
479 |
Decrease short-term benefit receipt | Received Food Stamps/SNAP, follow-up period | Quarters 1–2 |
High ![]() |
98.50 | 96.20 | -2.30 | percentage points |
![]() |
479 |
High
Moderate
The findings quality describe our confidence that a given study’s finding is because of the intervention. We do not display findings that rate low.
A moderate-to-large favorable finding that is unlikely to be due to chance
A moderate-to-large favorable finding that might to be due to chance
A small favorable finding that is unlikely to be due to chance
A small favorable finding that might be due to chance
A favorable finding that is unlikely to be due to chance, but we cannot determine the standardized effect size
A favorable finding that might be due to chance, but we cannot determine the standardized effect size
A moderate-to-large unfavorable finding that is unlikely to be due to chance
A moderate-to-large unfavorable finding that might to be due to chance
A small unfavorable finding that is unlikely to be due to chance
A small unfavorable finding that might be due to chance
An unfavorable finding that is unlikely to be due to chance, but we cannot determine the standardized effect size
An unfavorable finding that might be due to chance, but we cannot determine the standardized effect size
A finding that is unlikely to be due to chance, but we cannot determine the standardized effect size or direction
A finding of no effect that might be due to chance
Sample characteristics
All participants received public welfare benefits via CalWORKs. Most (70 percent) participants identified as female, 35 percent of participants identified as Black, 34 percent identified as White, and 15 percent identified as Hispanic (15 percent of participants did not disclose their race). About one-quarter (24 percent) of participants lacked a high-school diploma or equivalent certificate, whereas about 42 percent had at least some college education. Average earnings in the year before random assignment were around $6,800.
Sex
Female | 70% |
Male | 31% |
Participant race and ethnicity
Black or African American | 35% |
White, not Hispanic | 34% |
Unknown or not reported | 15% |
Hispanic or Latino of any race | 15% |
The race and ethnicity categories may sum to more than 100 percent if the authors reported race and ethnicity separately; in these cases, we report the category White, rather than White, not Hispanic.
Participant employment and public benefit status
Were eligible for or receiving cash assistance | 100% |
Were long-term cash assistance recipients | 66% |
Participant education
Had some postsecondary education | 42% |
Had a high school diploma or GED | 76% |
Did not have a high school diploma or GED | 24% |
Intervention implementation
Implementing organization:
Program history:
Intervention services:
Mandatory services:
Comparison services:
Service receipt duration:
Intervention funding:
Study publications
Martinson, Karin, Alicia Meckstroth, Eleanor Harvill, Correne Saunders, Daniel Litwok, and Steve Bates (2019). Implementation and relative impacts of two job search assistance programs in Sacramento County, California, OPRE Report #2019-72, Washington, DC: Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. Available at https://www.acf.hhs.gov/sites/default/files/documents/opre/jsa_sacramento_report_final2_withcover_508.pdf.
Martinson, Karin, Eleanor Harvill, and Deena Schwartz (2020). The effectiveness of different approaches for moving cash assistance recipients to work: Findings from the Job Search Assistance Strategies Evaluation, OPRE Report #2020-113, Washington, DC: Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. Available at https://www.acf.hhs.gov/sites/default/files/documents/opre/jsa_cross_site_paper_sep_2020.pdf.
View the glossary for more information about these and other terms used on this page.
The Pathways Clearinghouse refers to interventions by the names used in study reports or manuscripts. Some intervention names may use language that is not consistent with our style guide, preferences, or the terminology we use to describe populations.
90002-Standard Job Club ve