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’s objective was to examine the impact of the Virtual Interactive Training Agents (ViTA) program on training outcomes for students with disabilities. The study used an interrupted time…Study Type: Causal Impact Analysis
The study examined the effect of the Veterans Homelessness Prevention Demonstration (VHPD) program on the employment, earnings, public benefit receipt, and education and training outcomes of veterans…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Trade Adjustment Assistance (TAA) Program on the wages of dislocated workers. The author used a nonexperimental method to compare the earnings…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a microenterprise intervention from Network180, an agency serving people with intellectual and developmental disabilities, on employment, earnings,…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Family Independence Initiative (FII) on education, earnings, employment, and public benefit receipt outcomes of low-income adults. The authors…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: Causal Impact Analysis
The study’s objective was to examine the impact of the Substance Use Treatment and Reentry (STAR) program on post-release employment and recidivism outcomes for justice-involved young adults in…Study Type: Causal Impact Analysis
The study examined the impacts of the Significant Improvement Demonstration Grants—awarded to 11 states to improve reemployment services for Unemployment Insurance (UI) claimants—on weeks of UI…Study Type: Causal Impact Analysis
The study examined the relationship between Certified Peer Specialist training and employment for training participants. The authors compared employment rates for participants before and after the…Study Type: Causal Impact Analysis
The study examined the impact of changes to the Full Retirement Age (FRA) on labor force exit, Old Age and Survivor’s Insurance (OASI) claims, and retirement. The study uses a statistical model and…
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.
Pre/post