Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Study Type: Causal Impact Analysis
The study examined the impact of the Social Security statements issued by the Social Security Administration (SSA) on older men’s annual hours worked. The authors used a nonexperimental design and…Study Type: Causal Impact Analysis
The study examined the impact of the strength of state disability discrimination laws on hiring rates of older men. The study used statistical models and data from the Health and Retirement Study…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of pre- and post-employment job supports and intensive case management on welfare recipients’ employment and benefits receipt outcomes after four…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the JOBS II program on long-term employment, earnings, and monthly hours worked. The authors randomly assigned eligible unemployed individuals to…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 examined the impact of the Veterans Affairs (VA) Homeless Veteran Dental Program on employment outcomes of homeless veterans. The authors used VA administrative data to compare the…Study Type: Causal Impact Analysis
The study examined the impact of contingency management (CM) on employment and health outcomes. The authors conducted a randomized controlled trial, using a work history form and drug and alcohol…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 After School Matters (ASM) apprenticeship program on academic outcomes in high school and on the likelihood of being hired for a summer or…
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.