Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 31 - 40 of 589
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Minnesota Family Investment Program of Ramsey County (MFIP-R), a precursor to the national Temporary Assistance for Needy Families program, on…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Nevada Community College Consortium (NCCC) Trade Adjustment Assistance Community College and Career Training (TAACCCT) grant program on…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 examine the impact of customized employment services for disabled adults on earnings and employment. Using administrative data, the authors compared employment and…Study Type: Causal Impact Analysis
The study examined the effect of Indiana’s correctional education program on individuals’ employment, earnings, and recidivism outcomes after release from prison. The authors used administrative…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.…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of work incentives benefits counseling (WIBC) on employment and earnings for individuals with intellectual disabilities. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of California’s Proposition 36 employment services on employment, earnings, receipt of public benefits, and recidivism. The authors used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of employer-based workplace education on wage growth at two mid-sized companies in New Jersey, one in the manufacturing sector and the other in the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the 2004 California Paid Family Leave (CA-PFL) program on young women’s employment and wages. The other chapters of the study are linked here:…
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.