Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 171
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Affordable Care Act (ACA) Medicaid expansion among documented agricultural workers on health insurance coverage; employer-paid health insurance…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Year Up program on employment, earnings, education, and public benefits receipt outcomes. The study used a randomized controlled trial to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Workforce Investment Act (WIA) youth program on employment outcomes. The study used a nonexperimental design with a matched comparison…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of America's Promise on employment and earnings outcomes. The study used a nonexperimental design to compare the outcomes of individuals who…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Career and Technical Education (CTE) at Windham School District (WSD) on employment outcomes. The study was a nonexperimental design that…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of ban-the-box (BTB) policies on employment. The study used a difference-in-differences design to compare the employment outcomes of individuals…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of government-sponsored employment programs on employment and earnings outcomes. The study used a nonexperimental design to compare the outcomes…Study Type: Causal Impact Analysis
The study's objective was to examine the net impact of 12 workforce development programs in Washington state on employment, earnings, and public benefits receipt outcomes. This profile focuses on the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Supported Employment (SE), through Vocational Rehabilitation (VR), on competitive employment. The study used a regression matched comparison…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Virtual Interview Training for Transition Age Youth (VIT-TAY) on employment outcomes for transition-age youth with disabilities. The study used…
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.
