Education and skills gains-Mod/high-Favorable impacts

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 Supporting community college students from start to degree completion: Long-term evidence from a randomized trial of CUNY's ASAP (Weiss et. al, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the effectiveness of the Accelerated Study in Associate Programs (ASAP) at three City University of New York (CUNY) schools on cumulative credits earned and…
Effects of a two-generation human capital program on low-income parents' education, employment, and psychological wellbeing (Chase-Lansdale et al. 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study's objective was to examine the impact of CareerAdvance on educational attainment and persistence, employment, earnings and economic well-being, and psychological well-being. The…
Early college continued success: Longer-term impact of early college high schools (Song & Zeiser, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The objective of the study was to examine the impact of attending Early Colleges (ECs) on enrollment in postsecondary institutions and the likelihood of receiving a postsecondary degree. The…
Laying a foundation: Four-year results from the national YouthBuild evaluation (Miller 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of YouthBuild on employment, earnings, and education outcomes. The study was a randomized controlled trial that randomly assigned young adults to the…
Building a future: Interim impact findings from the YouthBuild evaluation (Miller et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of YouthBuild on employment, earnings, and education outcomes. The study was a randomized controlled trial that randomly assigned young adults to the…
Helping dropout youth find education and employment: Final impact report for the evaluation of the Los Angeles Reconnections Career Academy (LARCA) program (Geckeler et al. 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Los Angeles Reconnections Career Academy (LARCA) on education, employment, earnings, and public benefits receipt outcomes. The study was a…
Evaluating two welfare-to-work program approaches: Two-year findings on the labor force attachment and human capital development programs in three sites (Hamilton et al. 1997)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of Job Opportunities and Basic Skills Training (JOBS) on earnings, education, employment, and public benefits receipt outcomes. This profile focuses on…
Evaluating two welfare-to-work program approaches: Two-year findings on the labor force attachment and human capital development programs in three sites (Hamilton et al. 1997)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of Job Opportunities and Basic Skills Training (JOBS) on earnings, education, employment, and public benefits receipt outcomes. This profile focuses on…
PACE cross-program implementation and impact study findings (Gardiner & Juras 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of Year Up on education and earnings outcomes. The authors investigated similar research questions for other programs, the profiles of which can be…
PACE cross-program implementation and impact study findings (Gardiner & Juras 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of Valley Initiative for Development and Advancement (VIDA) on education outcomes. The authors investigated similar research questions for other…

CLEAR Icon Key

Below is a key for icons used to indicate important details about a study, such as its type, evidence rating, and outcome findings.

High Causal Evidence

Strong evidence the effects are caused by the examined intervention.
Moderate Causal Evidence

Evidence that the effects are caused to some degree by the examined intervention.
Low Causal Evidence

Little evidence that the effects are caused by the examined intervention.
Causal Impact Analysis

Uses quantitative methods to assess the effectiveness of a program, policy, or intervention.
Descriptive Analysis

Describes a program, policy, or intervention using qualitative or quantitative methods.
Implementation Analysis

Examines the implementation of a program, policy, or intervention.
Favorable

The study found at least one favorable impact in the outcome domain, and no unfavorable impacts.
Mixed

The study found some favorable and some unfavorable impacts in the outcome domain.
None

The study found no statistically significant impacts in the outcome domain.
Unfavorable

The study found at least one unfavorable impact in the outcome domain, and no favorable impacts.
Not applicable

Not applicable because no outcomes were examined in the outcome domain.
Favorable - low evidence

The study found at least one favorable impact in the outcome domain, and no unfavorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Mixed - low evidence

The study found some favorable and some unfavorable impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
None - low evidence

The study found no statistically significant impacts in the outcome domain. The study received a low causal evidence ratings so these findings should be interpreted with caution.
Unfavorable - low evidence

The study found at least one unfavorable impact in the outcome domain, and no favorable impacts. The study received a low causal evidence ratings so these findings should be interpreted with caution.