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 304
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Youth Transition Demonstration (YTD) project on public benefits receipt, employment, and earnings outcomes. This profile focuses on the study…Study Type: Causal Impact Analysis
This report’s objective was to examine the effectiveness of the Center for Employment Training (CET) model. Under this model, local employers helped to design training programs and provide them in a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Promoting Readiness of Minors in Supplemental Security Income (PROMISE) program on education, employment, earnings, and public benefits receipt…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Promoting Readiness of Minors in Supplemental Security Income (PROMISE) program on education, employment, earnings, and public benefits receipt…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Promoting Readiness of Minors in Supplemental Security Income (PROMISE) program on education, employment, earnings, and public benefits receipt…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Promoting Readiness of Minors in Supplemental Security Income (PROMISE) program on education, employment, earnings, and public benefits receipt…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Promoting Readiness of Minors in Supplemental Security Income (PROMISE) program on education, employment, earnings, and public benefits receipt…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Promoting Readiness of Minors in Supplemental Security Income (PROMISE) program on education, employment, earnings, and public benefits receipt…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Florida’s Priority Reemployment Services (PREP) program on Unemployment Insurance (UI) claimants’ reemployment rates, earnings, and receipt of UI…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…
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.