Education and skills gains-Mod/high-Unfavorable impacts

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Displaying 1 - 6 of 6

Building college and career pathways for high school students: Youth Career Connect impact findings report (Maxwell et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study's objective was to examine the impact of Youth Career Connect (YCC) on education outcomes. The study used a nonexperimental design to compare the outcomes of students who participated…
Evaluating alternative welfare-to-work approaches: Two-year impacts for eleven programs (Freedman et al. 2000)
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, employment, education, and public benefits receipt outcomes. This profile focuses…
Do recent reforms of Mexico's nationwide cash transfer program affect children's work and school attendance? (Universita di Roma Tor Vergata et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the reformed Prospera cash transfer program on child work and education outcomes. The study used a randomized controlled trial to compare…
Effect of job skills training on employment and job seeking behaviors in an American Indian substance abuse treatment sample. (Foley et al. 2010)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of workshops for job seekers on employment and training outcomes. The study used a randomized controlled trial (RCT) design, in which eligible…
Testing two subsidized employment approaches for recipients of Temporary Assistance for Needy Families: Implementation and early impacts of the Los Angeles County Transitional Subsidized Employment Program (Glosser et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of on-the-job training, part of Los Angeles’ Subsidized and Transitional Employment Demonstration, on employment, earnings, education, training, and…
Contra Costa Community College District Design it–Build it–Ship it (DBS) final evaluation report (Rayyes et al. 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the Design it–Build it–Ship it (DBS) program on education, employment, and earnings outcomes. The authors used a nonexperimental design to compare…

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.