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 589
Study Type: Causal Impact Analysis
The study’s objective was to examine the consequences of the Americans with Disabilities Act (ADA) on the employment and wages of people with disabilities. The main analysis estimated regression…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of cognitive processing therapy on earnings. The study is a randomized controlled trial that collected self-reported data directly from veterans.…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Eastern Mississippi Community College's (EMCC) workforce services training on earnings and employment. The study used a nonexperimental design to…Study Type: Causal Impact Analysis
The report’s objective was to evaluate the impact of Career Academies on labor market and educational outcomes four years after participants’ scheduled high school graduation. Earlier reports…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 the Camden County College (CCC) workforce development program on earnings and employment outcomes. Using the New Jersey Unemployment Insurance (UI…Study Type: Causal Impact Analysis
The study’s objective was to determine the impact of the offer to enroll in Job Training Partnership Act (JTPA) Title II-A programs on labor market earnings, educational and training participation…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 examine the impact of the PluggedIn and WorkREADY! advanced manufacturing training program on education, employment, and earnings outcomes. The study used a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of One Summer Chicago Plus (OSC+) on education, employment, and earnings outcomes. This profile focuses on the 2012 eight-week intervention. The…
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.