HighStudy design
Design:
Study group formation:
Time period of study:
Primary outcome domains examined:
Increase short-term earnings, Increase long-term earnings, Increase very long-term earnings, Increase short-term employment, Increase long-term employment, Increase very long-term employmentOther outcome domains examined:
Psychosocial skills, life stressors, family structure, job quality, career knowledge and availability of career supports, health insurance coverage, home ownership, level of debt, signs of financial distress, parental engagement, child outcomes, childbearing (women only), and living arrangementsStudy 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 short-term earnings | Annual earnings | Year 1 |
High
|
5,944.00 | 5,082.00 | -862.00 | 2019 dollars |
|
955 |
| Increase long-term earnings | Annual earnings | Year 5 |
High
|
29,670.00 | 30,303.00 | 633.00 | 2019 dollars |
|
955 |
| Increase very long-term earnings | Annual earnings | Year 7 |
High
|
35,525.00 | 35,206.00 | -319.00 | 2019 dollars |
|
926 |
| Increase short-term employment | Currently employed | Quarter 6 |
High
|
60.80 | 54.50 | -6.30 | Percentage points |
|
955 |
| Increase long-term employment | Currently employed | Quarter 20 |
High
|
80.20 | 80.00 | -0.20 | Percentage points |
|
955 |
| Increase very long-term employment | Currently employed | Quarter 27 |
High
|
78.70 | 80.50 | 1.80 | Percentage points |
|
926 |
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
All participants were residents of the Rio Grande Valley of Texas. More than 60 percent were ages 21 to 34, and about 70 percent were female. Nearly all were Hispanic (96 percent). All were required to have a high school diploma or equivalent certification, although about 1 percent lacked this credential. Most participants had some postsecondary education before the start of the study (73 percent), and about one-third of participants held a vocational or technical certificate or diploma (31 percent). In the year before random assignment, about two-thirds received benefits from the Special Supplemental Nutrition Program for Women, Infants, and Children or the Supplemental Nutrition Assistance Program (68 percent).
Age
| Young adults (age 16-24) | 37% |
| Adults (age 25+) | 63% |
Sex
| Female | 71% |
| Male | 29% |
Race and ethnicity
| Black or African American |
1%
|
| White, not Hispanic |
3%
|
| Hispanic or Latino of any race |
96%
|
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 | 35% |
| Were unemployed | 65% |
| Had low incomes | 100% |
Education
| Had some postsecondary education | 73% |
| Did not have a high school diploma or GED | 1% |
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
Gardiner, Karen, 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.
Judkins, David, Douglas Walton, Daniel Litwok, Gabriel Durham, and Samuel Dastrup (2021). Valley Initiative for Development and Advancement (VIDA): Appendices for three-year impact report, OPRE Report #2021-96, 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/valley-initiative-development-and-advancement-vida-three-year-impact-report.
Judkins, David, Douglas Walton, Daniel Litwok, Gabriel Durham, and Samuel Dastrup (2021). Valley Initiative for Development and Advancement (VIDA): Appendices for three-year impact report, OPRE Report #2021-96, 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/valley-initiative-development-and-advancement-vida-three-year-impact-report.
Judkins, David, Emily Roessel, and Gabriel Durham (2022). Appendices for PACE six-year impact reports, OPRE Report #2022-69, 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/pace%20six-year%20impact%20report%20technical%20appendix%2003-2022.pdf
Rolston, Howard, and Douglas Walton (2022). Valley Initiative for Development and Advancement (VIDA): Six-year impact report, OPRE Report #2022-58, 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/valley-initiative-development-advancement-vida-six-year-impact-report.
Rolston, Howard, Elizabeth Copson, and Karen Gardiner (2017). Valley Initiative for Development and Advancement: Implementation and early impact report, OPRE Report #2017-83, 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/vida_implementation_and_early_impact_report_final_b508.pdf.
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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