Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 41 - 50 of 739
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Bridges to Career Opportunities (BCO) program on employment.The study used a nonexperimental design to compare employment outcomes of BCO…Study Type: Causal Impact Analysis
The evaluation’s objective was to examine the effects of the Summer Career Exploration Program (SCEP) on short-term earnings, employment, and other outcomes. SCEP offers youth job-related counseling…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of customized employment services for disabled adults on earnings and employment. Using administrative data, the authors compared employment and…Study Type: Descriptive Analysis
This paper described the ADVANCE IT-Catalyst study that examined the barriers facing female STEM faculty members at six Rochester Institute of Technology (RIT) colleges, compared with men at RIT and…Study Type: Causal Impact Analysis
The study examined the impact of About Face (AF) vocational classes on competitive employment. In this nonexperimental study, the authors used statistical analyses to compare the employment outcomes…Study Type: Causal Impact Analysis
The study examined the impact of self-studying the About Face (AF) manual on competitive employment. In this nonexperimental study, the authors used statistical analyses to compare the employment…Study Type: Causal Impact Analysis
The study examined the impact of self-study of the About Face (AF) manual on competitive employment. In this nonexperimental study, the authors used statistical analyses to compare the employment…Study Type: Causal Impact Analysis
The study’s objective was to assess the relationship between the MoHealthWINS program and education and employment outcomes. The study used a nonexperimental design, where the program participants…Study Type: Causal Impact Analysis
The study examined the effect of Indiana’s correctional education program on individuals’ employment, earnings, and recidivism outcomes after release from prison. The authors used administrative…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Advanced Manufacturing Pathways (AMP) PLUS program on education and employment outcomes. The authors used a nonexperimental design 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.