Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 20 of 116
Study Type: Causal Impact Analysis
The study's objective was to examine the net impact of 12 workforce development programs in Washington state on employment, earnings, and public benefits receipt outcomes. This profile focuses on the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of State Vocational Rehabilitation Agency (SVRA) services on employment and public benefits receipt outcomes. The study used a nonexperimental…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 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 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 Employment Intervention Demonstration Program (EIDP) on employment, earnings, and public benefits receipt. The study used a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of YouthVillages’ YVLifeSet program on earnings and wages, employment, educational attainment, participation in vocational training, and public…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Rent Reform Demonstration on earnings and employment among families served by four large Public Housing Authorities (PHAs). The authors…
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.
