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 180
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Paycheck Plus in Atlanta on earnings and employment. Paycheck Plus is part of the Subsidized and Transitional Employment Demonstration (STED), a…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 impact of Substantial Gainful Activity (SGA) Project on employment and earnings. The study was a randomized controlled trial that assigned Kentucky…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of internships and cooperative programs at community colleges on post-graduation wages. The study used a nonexperimental design to compare the…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…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Growing America Through Entrepreneurship (GATE) on earnings and employment. This profile focuses on the study at the Maine site. The authors…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of reemployment programs on public benefits receipt, employment, and earnings outcomes for youth. This profile focuses on the comparison between the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of reemployment programs on public benefits receipt, employment, and earnings outcomes. This profile focuses on the comparison between the Idaho…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of reemployment programs on public benefits receipt, employment, and earnings outcomes. This profile focuses on the comparison between the Nevada…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of General Education Development (GED) attainment and Therapeutic Community (TC) participation on earnings and employment following release from prison…
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.
