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 - 17 of 17
Study Type: Causal Impact Analysis
The study examined the impact of Washington State’s Self-Employment and Enterprise Demonstration (SEED) on reemployment via self-employment for Unemployment Insurance (UI) claimants. SEED was…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Accelerating Opportunity (AO) program on education, earnings, and employment outcomes in four states. This summary contains the findings from…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Accelerating Opportunity (AO) program on education, earnings, and employment outcomes in four states. This summary contains the findings from…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of Accelerated Training for Illinois Manufacturing (ATIM) Program, a workforce training intervention, on education, employment, and earnings outcomes.…Net impact study on annual earnings for the training benefits program 2002-2012 (Aviles et al. 2015)
Study Type: Causal Impact Analysis
The study’s objective was to evaluate the impact and cost-benefit of the Training Benefits program on participants’ employment, earnings, and unemployment benefits. The study used a nonexperimental…Study Type: Causal Impact Analysis
The evaluation’s objective was to examine the effects of the Summer Career Exploration Program (SCEP) on short-term earnings, employment, and other outcomes. SCEP offers youth job-related counseling…Study Type: Causal Impact Analysis
The study’s objective was to determine the impact of the offer to enroll in Job Training Partnership Act (JTPA) Title II-A programs on labor market earnings, educational and training participation…
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.
Domain
Effectiveness icon
