Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 51 - 60 of 739
Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of Accelerated Training for Illinois Manufacturing (ATIM) Program, a workforce training intervention, on education, employment, and earnings outcomes.…Study Type: Causal Impact Analysis
The study examined the impact of the Veterans Affairs (VA) Homeless Veteran Dental Program on employment outcomes of homeless veterans. The authors used VA administrative data to compare the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of work incentives benefits counseling (WIBC) on employment and earnings for individuals with intellectual disabilities. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of California’s Proposition 36 employment services on employment, earnings, receipt of public benefits, and recidivism. The authors used a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Workforce Investment Act (WIA) youth program on employment outcomes.The study used a nonexperimental design with a matched comparison group.…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the 2004 California Paid Family Leave (CA-PFL) program on young women’s employment and wages. The other chapters of the study are linked here:…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the enhanced East Los Angeles College’s (ELAC) Technology and Logistics program on student’s education, earnings, and employment outcomes. The…Study Type: Causal Impact Analysis
This study examines the effectiveness of a specific prison work program called Prison Industry Enhancement Certification Program (PIECP) on employment, earnings, and recidivism after release. The…Study Type: Causal Impact Analysis
This study examines the effectiveness of a specific prison work program called Prison Industry Enhancement Certification Program (PIECP) on employment and recidivism after release. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between employees’ intent to leave (that is, employees’ stated intentions to leave the firm in the next year) and their participation in on-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.