Education and skills gains-Low-No impacts

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Displaying 1 - 10 of 74

NYC as a laboratory for learning about Career and Technical Education: Lessons from CTE-Dedicated high schools (Kemple et al., 2023)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of Career and Technical Education (CTE) high schools on receipt of the Regents diploma. The study used a nonexperimental design to compare…
The impact of youth apprenticeship and employability skills programs on career & technical education concentrator-completer post-graduation outcomes (Mindham & Schultz, 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Wisconsin Youth Apprenticeship program on education outcomes. The study used a nonexperimental design to compare the outcomes of…
Does broad-based merit aid improve college completion? Evidence from New Mexico's lottery scholarship (Erwin & Binder, 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of New Mexico Legislative Lottery Scholarship (NMLLS) on education outcomes. This study was a difference-in-differences design exploring the…
Evaluation of an occupational safety and health training for cannabis cultivation workers (Brown et al., 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of an occupational safety and health (OSH) training for cannabis cultivation workers on their occupational health and safety knowledge. The…
New insights into the back on track model's effects on opportunity youth outcomes: Opportunity works final evaluation report (Anderson et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Back on Track framework on obtaining a high school credential and being disconnected from both work and school. The authors investigated similar…
New insights into the back on track model's effects on opportunity youth outcomes: Opportunity works final evaluation report (Anderson et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Back on Track framework on obtaining a high school credential and being disconnected from both work and school (that is, neither working nor…
New insights into the back on track model's effects on opportunity youth outcomes: Opportunity works final evaluation report (Anderson et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study’s objective was to examine the impact of the Back on Track framework on earning a high school credential and being disconnected from both work and school (that is, neither working nor…
Experimental evaluation of transitional living services for system-involved youth: Implications for policy and practice (Courtney et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of YouthVillages’ YVLifeSet program on earnings and wages, employment, educational attainment, participation in vocational training, and public…
Engaging SSI youth and families with ASPIRE services (Ipsen et al., 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of ASPIRE (Achieving Success by Promoting Readiness for Education and Employment) program on youth employment and educational activities. …
Integrating service into YouthBuild AmeriCorps HSE and diploma granting programs (The Center for Youth and Communities, 2019)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Low Causal Evidence
The study's objective was to examine the impact of YouthBuild AmeriCorps programs that grant both a HSE and Diploma (Combined HSE/Diploma) on employment, and education and training. The authors…

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.