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 208
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Scholars at Work (SAW) on college enrollment, wages, and employment. Using a propensity score weighting approach, this study compares outcomes…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the WorkAdvance sectoral training program on year three earnings outcomes. This profile focuses on the pooled evaluation findings. The authors…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of registered apprenticeships on employment and earnings for dislocated workers. This study used a nonexperimental design to compare the outcomes…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of work incentives benefits counseling (WIBC) on employment and earnings for individuals with intellectual disabilities. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Project QUEST on employment and earnings over nine years. The study was a randomized controlled trial that used quarterly earnings data from…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the WorkAdvance sectoral training program on employment and earnings outcomes. This profile focuses on the pooled evaluation findings. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Accelerating Connections to Employment (ACE) program on education, earnings, and employment outcomes. The authors used a randomized controlled…Study Type: Causal Impact Analysis
The study’s objective was to evaluate the benefits of stackable certificates on education and earnings outcomes for full-time students with no prior post-secondary education. The author used a…Study Type: Causal Impact Analysis
The study examines the effectiveness of a prison work program, Prison Industry Enhancement Certification Program (PIECP), on employment, earnings, and recidivism. The author used a nonexperimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the Workforce Investment Act (WIA) Adult Program’s impact on workers’ employment and earnings in 12 states. The authors analyzed administrative data to compare…
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.
