Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 81 - 90 of 153
Study Type: Causal Impact Analysis
The study examined the effect of Indiana’s correctional education program on individuals’ employment, earnings, and recidivism outcomes after release from prison. The authors used administrative…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Reemployment and Eligibility Assessment (REA) program in four states (Indiana, New York, Washington, and Wisconsin) on people’s public benefit…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Wisconsin Regional Training Partnership’s (WRTP) sectoral employment program on earnings and employment. The authors investigated similar…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Project GROW (Growing Regional Opportunities for the Workforce) on education, earnings, and employment outcomes. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of community college schooling on displaced workers’ earnings and employment outcomes. This summary focuses on the Washington State sample. The study…Study Type: Causal Impact Analysis
The report’s objective was to evaluate the impact of Career Academies on students’ engagement and performance in high school three to four years after enrollment in a Career Academy. Later reports…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 30 months. This summary focuses on the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 30 months. This summary focuses on the…Study Type: Causal Impact Analysis
The study’s objective was to examine whether providing job search information to unemployed job seekers affected their labor market outcomes. German citizens identified as unemployed were randomly…Study Type: Causal Impact Analysis
This study examined impacts of the Ticket to Work (TTW) program, a work incentive program for Social Security disability recipients, on achieving Social Security Disability Insurance (SSDI) return-…
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.
