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 42
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Substance Use Treatment and Reentry (STAR) program on post-release employment and recidivism outcomes for justice-involved young adults in…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of the 2008 GI Bill on post-9/11 veterans’ employment and educational attainment. The study used a statistical model to compare outcomes between…Study Type: Causal Impact Analysis
The study examined the impact of a 2001 expansion in eligibility for Disability Compensation (DC) to type 2 diabetes for Vietnam-era veterans on labor force participation, earnings, and receipt of…Study Type: Causal Impact Analysis
The report’s objective was to evaluate the impact of the Quantum Opportunity Program (QOP)—which includes case management and mentoring, education, developmental activities, community service,…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Americans with Disabilities Act (ADA) of 1990 on the employment and wages of men with disabilities relative to men without disabilities. The…Study Type: Causal Impact Analysis
The study’s objective was to gauge the impact of California’s Proposition 209, a 1996 repeal of affirmative action, on employment, unemployment, labor force participation, and wages among women and…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of the Americans with Disabilities Act (ADA) on the employment rate for men with disabilities. Using data from the Survey of Income and Program…Study Type: Causal Impact Analysis
The study examined the impact of state-level reforms of health insurance on early retirement and Social Security retirement benefit claims. The authors used 1996–2010 data from the Health and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of employer-provided retiree health insurance on early retirement. The authors used a nonexperimental design to compare early retirement outcomes of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of firm-specific training and general training on older men’s retirement decisions The study used a nonexperimental design and data from the U.S.…
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
