Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 592
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of a therapeutic workplace on employment, earnings and wages, and public benefits receipt. This study used a randomized controlled trial. …Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of an employment intervention tailored for drug-involved offenders on employment and earnings outcomes. The study was a randomized controlled…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of California's Proposition 36-funded employment services on employment, earnings, public benefit receipt, and health and safety. Using outcome…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of an integrated drug counseling and employment intervention on employment, earnings, drug use, and HIV risk behaviors among clients in methadone…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of work-based learning (WBL) on employment and earnings. The study used a nonexperimental design to compare the outcomes of college graduates who…Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of adult transition centers (ATC) on earnings and employment two- and three-years following release. The study used a nonexperimental design…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the TechHire Partnership Grants (TechHire) and the Strengthening Working Families Initiative (SWFI) on employment, earnings, and completion of…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Year Up program on employment, earnings, education, and public benefits receipt outcomes. The study used a randomized controlled trial to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of registered apprenticeships on employment and earnings for dislocated workers. This study used a nonexperimental design to compare the outcomes…
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.