Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 61 - 70 of 116
Study Type: Causal Impact Analysis
The study’s objective was to examine the early impacts of participation in the Work Advancement and Support Center (WASC) demonstration on employment, earnings, education and training, and receipt…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in Dayton—Move Up, a Work Advancement and Support Center (WASC), on participants’ earnings, employment, educational attainment, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in San Diego—EARN!, a Work Advancement and Support Center (WASC), on participants’ earnings, employment, educational attainment and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in the Academy for Career Advancement—Bridgeport, a Work Advancement and Support Center (WASC) on participants’ earnings, employment…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Structured Training and Employment Transitional Services (STETS) program on employment rates, earnings, and Social Security Disability Income (…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Family Rewards, an experimental privately funded conditional cash transfer program in New York City, on earnings, employment, public benefits…Study Type: Causal Impact Analysis
The study’s objective was to compare the impacts of individual training account (ITA) approaches on customers’ training completion, employment, earnings, and benefits receipt outcomes after 15…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 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 Reemployment and Eligibility Assessment (REA) program in four states on people’s public benefit receipt, employment, and earnings. 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.
