Education and skills gains-Mod/high-No impacts

Recently Added

CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.

Search
for studies on
this topic using
keywords
and filters

Displaying 1 - 10 of 74

Pathways after high school: Evaluation of the Urban Alliance High School Internship Program (Theodos 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 Urban Alliance High School Internship Program on employment, earnings, and education outcomes. The study used a randomized controlled…
Evaluation of the Urban Alliance High School Internship Program (Theodos et al., 2023)
Study Type: Causal Impact Analysis
Causal Evidence Rating:
The study's objective was to examine the impact of the Urban Alliance High School Internship Program on education, employment, and earnings. The study used a randomized controlled trial to…
RCT of a promising vocational/employment program for high-risk juvenile offenders (Schaeffer et al., 2014)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of Community Restitution Apprenticeship-Focused Training (CRAFT) on employment and education outcomes. The study was a randomized controlled trial…
Washington State’s Integrated Basic Education and Skills Training (I-BEST) Program: Three-year impact report (Martinson et al., 2021)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of Washington State’s Integrated Basic Education and Skills Training (I-BEST) on education and earnings outcomes. The study used a randomized…
Experimental evidence on the impacts of need‐based financial aid: Longitudinal assessment of the Wisconsin Scholars Grant [Two-Year College Students Sample] (Anderson et al., 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the Wisconsin Scholar Grant (WSG) on long-term education outcomes for two-year college students. The authors investigated similar research questions…
Marginal Effects of Merit Aid for Low-Income Students [Two-Year College Student Sample] (Angrist et al., 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study's objective was to examine the impact of the Susan Thompson Buffet Foundation (STBF) financial aid awards on education outcomes for two-year college students. The authors investigated…
Rethinking the benefits of youth employment programs: The heterogeneous effects of summer jobs [2012 Program] (Davis & Heller, 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of One Summer Chicago Plus (OSC+) on education, employment, and earnings outcomes. This profile focuses on the 2012 eight-week intervention. The…
Rethinking the benefits of youth employment programs: The heterogeneous effects of summer jobs [2013 Program] (Davis & Heller, 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of One Summer Chicago Plus (OSC+) on education, employment, and earnings outcomes. This profile focuses on the 2013 six-week intervention. The authors…
Using technology to redesign college advising and student support: Findings and lessons from three colleges' efforts to build on the iPASS initiative [UNCC] (Miller et al., 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the enhanced Integrated Planning and Advising for Student Success (iPASS) on education outcomes. This profile focuses on the University of North…
Using technology to redesign college advising and student support: Findings and lessons from three colleges' efforts to build on the iPASS initiative [MCCC] (Miller et al., 2020)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study's objective was to examine the impact of the enhanced Integrated Planning and Advising for Student Success (iPASS) on education outcomes. This profile focuses on the Montgomery County…

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.