Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 141 - 150 of 173
Study Type: Causal Impact Analysis
The study examined the impact of benefits counseling on employment and earnings. The study was a randomized controlled trial and collected self-reported data directly from veterans. At one month,…Study Type: Causal Impact Analysis
The study’s objective was to examine the impacts of a telephone care management program, Working toward Wellness (WtW), on low-income depressed parents’ employment and earnings. The study used a…Study Type: Causal Impact Analysis
The study aimed to examine the impact of the Opening Doors learning communities at Kingsborough Community College in New York on progress toward completing a degree, actual completion of a degree,…Study Type: Causal Impact Analysis
The report’s objective was to evaluate the impact of the Quantum Opportunity Program (QOP)—which included case management and mentoring, education, developmental activities, community service,…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of Job Training Partnership Act (JTPA) programs on the long-term earnings and employment of male and female out-of-school youth and adults. This…Study Type: Causal Impact Analysis
This report’s objective was to examine the effectiveness of the Center for Employment Training (CET) model. Under this model, local employers help design training programs and provide them in a work…Study Type: Causal Impact Analysis
This report’s objective was to examine the effectiveness of the Center for Employment Training (CET) model. Under this model, local employers helped to design training programs and provide them in…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impacts of eight Conservation and Youth Service Corps programs that sought to improve educational and employment outcomes for out-of-school youth ages 18 to…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
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in North Dakota, a program that provided eligibility and reemployment case…
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.
