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 157
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Youth Transition Demonstration (YTD) project on public benefits receipt, employment, and earnings outcomes. This profile focuses on the study…Study Type: Causal Impact Analysis
This report’s objective was to examine the effectiveness of the Center for Employment Training (CET) model. Under this model, local employers helped to design training programs and provide them in a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Adult Transition Centers (ATCs) on quarterly earnings and employment. The study used a quasi-experimental design to compare outcomes before…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 Health Profession Opportunity Grants (HPOG) on employment, education, earnings, and public benefit receipt three years after participants were…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 Lexington, Kentucky. The…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 examined the impact of the expansion of health insurance for veterans through the U.S. Department of Veterans Affairs (VA) in the mid-1990s (as a result of the implementation of the…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.
