HighStudy design
Design:
Study group formation:
Time period of study:
Primary outcome domains examined:
Increase education and trainingOther outcome domains examined:
Enrollment in occupational skills 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 education and training | Earned a certificate from a training program | Completion of training |
High
|
21.00 | 76.10 | 55.10 | Percentage points |
|
738 |
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
Most of the people assigned to the program condition were male (80 percent), and the majority were White (72 percent). About one-third had a criminal record (35 percent), and about half had previously been employed in manufacturing (56 percent). Almost all people in the program condition had a high school diploma or GED (98 percent).
Age
| Mean age | 40 years |
Sex
| Male | 80% |
Race and ethnicity
| White |
72%
|
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 | 52% |
Education
| Had some postsecondary education | 42% |
| Had a high school diploma or GED | 98% |
| Did not have a high school diploma or GED | 2% |
| English learners | 2% |
Specific employment barriers
| Had a disability | 4% |
| Had a substance abuse disorder | 3% |
| Were involved with the justice system | 35% |
| Were experiencing homelessness | 3% |
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
Betesh, Hannah, Deborah Kogan, Laura Aron, David Mitnick, Brandon Nicholson, and Castle Sinicrope (2015). Designing and implementing sector-specific career pathways initiatives: Lessons from the implementation of the Advanced Training for Illinois Manufacturing (ATIM) Program, Oakland, CA: Social Policy Research Associates.
Betesh, Hannah, Hui Kim, Deborah Kogan, Rachel Lindy, and Anne Paprocki (2017). Evaluation of Accelerated Training for Illinois Manufacturing (ATIM): Impact report, Oakland, CA: Social Policy Research Associates.
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.
25158-Study of Accelerated