Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 91 - 100 of 109
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Golden Triangle Modern Manufacturing Project on education, earnings, and employment outcomes. The author used a nonexperimental design to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Kansas Technical Re/training Among Industry-targeted Networks (KanTRAIN) program on education, earnings, and employment outcomes. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of the University of Vermont’s (UVM) Science, Technology, Engineering and Math (STEM) Connect program on earnings and employment outcomes. The study…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of an embedded cognitive rehabilitation intervention on employment and earnings. The study was a randomized controlled trial with the authors using…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participating in the Adult Transition Centers (ATC) work-release program on employment and earnings outcomes for ex-prisoners in Cook County,…Study Type: Causal Impact Analysis
The study examined the impact of the Senior Citizens Freedom to Work Act of 2000 on employment, earnings, and public benefit receipt outcomes of workers ages 65 to 69. The study was a…Study Type: Causal Impact Analysis
The report’s objective was to evaluate the impact of the Quantum Opportunity Program (QOP)—which includes case management and mentoring, education, developmental activities, community service,…Study Type: Causal Impact Analysis
This report presents preliminary findings for the impacts of the Year Up program, which provides technical skills training and internships to low-income adults ages 18 to 24. The authors randomly…Study Type: Causal Impact Analysis
The study’s objective was to determine the effect of the YO! Baltimore initiative, which included a diverse set of programs offering comprehensive educational, employment preparation, support, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of state disability laws—those related to antidiscrimination and reasonable accommodation for employees with disabilities—on commercial banks’ number…
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.
