Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 21 - 30 of 42
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Food Stamp Employment and Training Program (FSET) on employment and credential completion rates. The authors used administrative records to…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of state-level sex and race discrimination laws passed before 1960 on employment and earnings outcomes for women and African Americans. The authors…Study Type: Causal Impact Analysis
The study’s objective was to assess the effect of Washington State’s Initiative 200 (I-200), which repealed affirmative action statewide, on racial and ethnic minority employment and wages. Using…Study Type: Causal Impact Analysis
The study examined the impact of the Wellness and Vocational Enrichment Clinic (WAVE), a conventional vocational rehabilitation program with some elements of supported employment, on veterans’…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of employment services offered through the Workforce Investment Act of 1998 (WIA) on employment and earnings outcomes. The author investigated…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Veterans Affairs (VA) Compensation Program on employment for veterans with service-connected disabilities. This study compared employment…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of employment and training services offered through the Workforce Investment Act of 1998 (WIA) on employment and earnings outcomes. The author…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 state of Massachusetts, as part of the Criminal Offender Record Information (CORI) Reform, implemented a policy change known as Ban the Box, which refers to a box job seekers would check to…Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between the Treatment Alternatives for Safe Communities/Mental Illness Substance Abuse (TASC/MISA) program and a range of outcomes, including…
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
