Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 51 - 60 of 182
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Breaking Barriers on employment, earnings, and public benefit receipt outcomes.The study was a randomized controlled trial that randomly assigned…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Breaking Barriers, a program implementing the Individual Placement and Support (IPS) model in a workforce setting, on employment, earnings, use of…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Wisconsin PROMISE (Promoting the Readiness of Minors in Supplemental Security Income) on youth employment, earnings and wages, and education and…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of the Family Self-Sufficiency (FSS) program, a voluntary program supported by the U.S. Department of Housing and Urban Development (HUD), on…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Rent Reform Demonstration on earnings and employment among families served by the Public Housing Authority (PHA) in Washington, DC. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Minnesota Subsidized and Transitional Employment Demonstration (MSTED) on participants’ employment, earnings, receipt of public benefits, and…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of CareerAdvance on educational attainment and persistence, employment, earnings and economic well-being, and psychological well-being. …Study Type: Causal Impact Analysis
The study examined the impact of enforcement of age discrimination laws on the employment and earnings of older male workers The author used a nonexperimental regression model and data from the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Affordable Care Act’s employer mandate on hourly wages by gender. The study used a difference-in-differences design to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the intervention on job mobility and compensation. This study uses a difference-in-difference design to compare the job mobility and…
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.
