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 21
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 vocational rehabilitation (VR) services on employment and earnings outcomes for youth with co-occurring mental illness and substance use disorder.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of vocational rehabilitation (VR) services on employment outcomes for Asian Americans with disabilities. The study used a nonexperimental design…Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between minimum wage changes and employment in the restaurant industry for teens ages 16–17 and adults ages 23–59 with education less than an…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 Louisville, Kentucky.…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Grameen America on employment and earnings outcomes. The study was a randomized controlled trial that assigned participants to either the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of CareerAdvance on education, employment, and earnings outcomes. The study used a nonexperimental design to compare the outcomes of parents who…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) adult program’s training services on the employment and earnings of low-income adults. The authors investigated…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) dislocated worker program’s training services on the employment and earnings of dislocated workers. The authors…
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
