Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 351 - 360 of 610
Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a paid work experience program, part of Los Angeles’ Subsidized and Transitional Employment Demonstration, on employment, earnings, education,…Study Type: Causal Impact Analysis
The study’s objective was to examine the role of informal mentoring on annual compensation, as well as the moderating effects of mentor status. The authors investigated similar research questions in…Study Type: Causal Impact Analysis
The study’s objective was to examine the role of informal mentoring on annual compensation, as well as the moderating effects of mentor status. The authors investigated similar research questions in…Study Type: Causal Impact Analysis
The study’s objective was to examine the role of informal mentoring on annual compensation, as well as the moderating effects of mentor status and gender. The authors investigated similar research…Study Type: Causal Impact Analysis
The study’s objective was to examine the role of informal mentoring on annual compensation, as well as the moderating effects of mentor status and gender. The authors investigated similar research…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the WorkAdvance sectoral training program at the Madison Strategies Group site on employment, earnings, education, and training from 2011 to 2015.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the WorkAdvance sectoral training program at the Per Scholas site on employment, earnings, and education and training from 2011 to 2015. The…Study Type: Causal Impact Analysis
The authors examine the impact of participation in Minnesota’s Affordable Homes Program (AHP) on post-release employment, earnings, and recidivism outcomes for people who were previously…Study Type: Causal Impact Analysis
The authors examine the impact of completing Minnesota’s Affordable Homes Program (AHP) on post-release employment, earnings, and recidivism outcomes for people who were previously incarcerated. The…
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.