HighStudy 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 | Program 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 |
Short-term outcomes are those measured 18 months or fewer after participants are first offered services. Long-term outcomes are those measured between 18 months and 5 years after participants are first offered services. Very long-term outcomes are those measured 5 years or more after participants are first offered services.
Means are not displayed when not reported or not aligned with the impact estimates. For example, if the impact estimate is regression-adjusted but only unadjusted means are reported in the study, the unadjusted means are not displayed as they are not aligned with the adjusted impact estimate.
Impact estimates are not shown when the estimate units cannot be converted to natural units.
High
Moderate
The findings quality describe our confidence that a given study’s finding is because of the program. 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.
Age
| Young adults (age 16-24) | 32% |
| Adults (age 25+) | 68% |
Sex
| Female | 84% |
Race and ethnicity
| Black or African American |
22%
|
| White, not Hispanic |
20%
|
| Hispanic or Latino of any race |
47%
|
| Unknown, not reported, or other |
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.
Employment and public benefit status
| Were employed | 38% |
| Were unemployed | 62% |
| Had low incomes | 100% |
Education
| Had some postsecondary education | 60% |
| Did not have a high school diploma or GED | 4% |
Program implementation
Implementing organization:
Program history:
Program services:
Mandatory services:
Comparison services:
Service receipt duration:
Program funding:
Cost information:
These figures are based on cost information reported by study authors. The Pathways to Work converted that information to a single amount expressed in 2024 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.
Pathways to Work refers to programs by the names used in study reports or manuscripts. Some program names may use language that is not consistent with our style guide, preferences, or the terminology we use to describe populations.
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