
Study design
Design:
Study group formation:
Time period of study:
Primary outcome domains examined:
Increase long-term earnings, Decrease long-term benefit receiptOther outcome domains examined:
Psychosocial skills, life stressors, child outcomes, parental engagement, and family economic well-beingStudy funded by:
Results
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Outcome domain | Measure | Timing | Study quality by finding | Comparison group mean | Intervention group mean | Impact | Units | Findings | Sample size |
---|---|---|---|---|---|---|---|---|---|
Increase long-term earnings | Annual earnings | Quarters 10–13 |
High ![]() |
17,847.00 | 19,103.00 | 1,256.00 | 2016 dollars |
![]() |
974 |
Decrease long-term benefit receipt | Received any public assistance benefits, latest elapsed follow-up month | 38 months |
Moderate ![]() |
62.80 | 63.90 | 1.10 | Percentage points |
![]() |
658 |
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
About one-third (32 percent) of the research sample was age 24 or younger, another one-third (32 percent) was ages 25 to 34, and one-third (36 percent) was 35 years of age or older. Most participants were female (84 percent). Nearly half of the sample (47 percent) was Hispanic, about one-fifth (22 percent) was Black, and about one-fifth (20 percent) was White. Only 4 percent lacked a high school diploma or the equivalent certification, and most (60 percent) had at least some postsecondary education.
Sex
Female | 84% |
Male | 16% |
Participant race and ethnicity
Black or African American | 22% |
White, not Hispanic | 20% |
Another race | 15% |
Hispanic or Latino of any race | 47% |
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
Had low incomes | 100% |
Participant education
Had some postsecondary education | 60% |
Had a high school diploma or GED | 96% |
Did not have a high school diploma or GED | 4% |
Intervention implementation
Implementing organization:
Program history:
Intervention services:
Mandatory services:
Comparison services:
Service receipt duration:
Intervention funding:
Cost information:
These figures are based on cost information reported by study authors. The Pathways Clearinghouse converted that information to a single amount expressed in 2018 dollars; for details, see the FAQ. This information is not an official price tag or guarantee.
Study publications
Farrell, Mary, and Martinson, Karin (2017). The San Diego County Bridge to Employment in the Healthcare Industry Program: Implementation and early impact report, OPRE Report #2017-41, 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/bridge_to_employment_implementation_and_early_impact_report_final_pdf.pdf.
Farrell, Mary, Randall Juras, David Judkins, and Samuel Dastrup (2020). The San Diego Workforce Partnership's Bridge to Employment in the Healthcare Industry Program: Three-year impact report, OPRE Report #2020-105, 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/sdwp_3_year_impact_report_08_2020_508docx.pdf.
Gardiner, Karin, and Randall Juras (2019). Pathways for Advancing Careers and Education (PACE) cross-program implementation and impact study findings, OPRE Report #2019-32, 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/opre/report/pathways-advancing-careers-and-education-pace-cross-program-implementation-and-impact.
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.
24989.04-Pathways for Advanci