Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 451 - 460 of 794
Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between formal training and promotion for employees who were not managers. The author investigated similar research questions in another study,…Study Type: Causal Impact Analysis
The study examined the relationship between participation in extracurricular food service employment during culinary arts training and two eligible outcomes: students’ post-graduation employment in…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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Reintegration of Ex-Offenders (RExO) programs on employment, earnings, public benefits receipt, and recidivism outcomes. The study was a randomized…Study Type: Causal Impact Analysis
The study’s objective was to examine how preventing employers from asking about an applicant’s criminal record in the early stage of the hiring process (ban-the-box) affected employment outcomes for…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Milwaukee Safe Street Prisoner Release Initiative on employment, earnings, public benefit receipt, and recidivism. Drawing on administrative…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the WorkAdvance sectoral training program at the St. Nicks Alliance site on employment, earnings, education, and training from 2011 to 2015. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Trade Adjustment Assistance (TAA) on the employment and earnings of participants displaced from jobs in the manufacturing sector who did and did…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Trade Adjustment Assistance (TAA) on the employment and earnings of displaced manufacturing workers. The authors investigated similar research…
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.