ModerateStudy design
Design:
Study group formation:
Time period of study:
Primary outcome domains examined:
Increase short-term earnings, Increase long-term earnings, Increase education and trainingStudy 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 | Quarterly earnings | Quarter 6 |
Moderate
|
2,344.00 | 2,215.00 | -129.00 | 2015 dollars |
|
19,903 |
| Increase long-term earnings | Quarterly earnings | Quarter 12 |
Moderate
|
2,952.00 | 3,063.00 | 111.00 | 2015 dollars |
|
19,903 |
| Increase education and training | Any credential earned | Semesters 2-10 |
Moderate
|
14.30 | 33.60 | 19.30 | percentage points |
|
19,903 |
| Increase education and training | Number of credentials earned | Semesters 2-10 |
Moderate
|
0.90 | 1.70 | 0.80 | count |
|
19,903 |
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
The study sample was composed of English-speaking students with low income who were in adult education programs or being served by community-based organizations and had scored at the 6th- to 12th-grade level on a math, reading, or writing test. Most participants had a high school diploma or equivalent (92 percent) and were White, not Hispanic (83 percent). The majority of participants were female (55 percent).
Characteristics may sum to greater than 100 percent due to rounding.
Age
| Mean age | 30 years |
Sex
| Female | 55% |
| Male | 45% |
Race and ethnicity
| Black or African American |
12%
|
| White, not Hispanic |
83%
|
| Hispanic or Latino of any race |
3%
|
| Unknown, not reported, or other |
2%
|
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
| Had low incomes | 100% |
Education
| Had a high school diploma or GED | 92% |
| Did not have a high school diploma or GED | 8% |
Program implementation
Implementing organization:
Program history:
Program services:
Mandatory services:
Comparison services:
Service receipt duration:
Program funding:
Study publications
Anderson, Theresa, Daniel Kuehn, Lauren Eyster, Burt S. Barnow, and Robert I. Lerman (2017). New evidence on integrated career pathways: Final impact report for accelerating opportunity, Washington, DC: Urban Institute. Available at https://www.urban.org/sites/default/files/publication/91436/ao_final_impacts.pdf
Anderson, Theresa, Lauren Eyster, Robert I. Lerman, Carol Clymer, Maureen Conway, and Marcela Montes (2014). The first year of accelerating opportunity: Implementation findings from the states and colleges, Washington, DC: Urban Institute. Available at https://files.eric.ed.gov/fulltext/ED559305.pdf
Anderson, Theresa, Lauren Eyster, Robert I. Lerman, Maureen Conway, Ranita Jain, and Marcela Montes (2016). Implementation of accelerating opportunity: Lessons for the field, Washington, DC: Urban Institute. Available at https://www.urban.org/sites/default/files/publication/80626/2000791-implementation-of-accelerating-opportunity-lessons-for-the-field.pdf
Eyster, Lauren, Theresa Anderson, Robert I. Lerman, Daniel Kuehn, Burt S. Barnow, Maureen Conway, Ranita Jain, and Marcela Montes (2018). Findings from the accelerating opportunity evaluation: Building the evidence on integrated career pathways, Washington, DC: Urban Institute. Available at https://www.urban.org/research/publication/findings-accelerating-opportunity-evaluation
Kuehn, Daniel, Theresa Anderson, Robert I. Lerman, Lauren Eyster, Burt S. Barnow, and Amanda Briggs (2017). A cost-benefit analysis of accelerating opportunity, Washington, DC: Urban Institute. Available at https://www.urban.org/research/publication/cost-benefit-analysis-accelerating-opportunity
Spaulding, Shayne, and Ananda Martin-Caughey (2015). Accelerating opportunity: A portrait of students and their program experiences from the 2014 student survey, Washington, DC: Urban Institute. Available at https://www.urban.org/sites/default/files/publication/43721/2000133-accelerating-opportunity_1.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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