Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 721 - 730 of 794
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 18 to…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 18 to…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of South Carolina’s Moving Up program on former welfare recipients’ employment, earnings and public benefits receipt outcomes after one year. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Wisconsin’s Benefit Offset Pilot Demonstration (BOPD), which provided a more-generous work incentive for Social Security Disability Insurance (SSDI…Study Type: Descriptive Analysis
This study investigated the influence that different amounts of work incentive benefits counseling had on employment outcomes for people receiving Social Security disability benefits. The study used…Study Type: Causal Impact Analysis
This study’s objective was to measure 12-month impacts of the Colorado Youth Work Incentive Network of Supports (WINS) project, sponsored by the Social Security Administration (SSA), one of six…Study Type: Causal Impact Analysis
This study’s objective was to examine 24-month impacts for Connecticut’s Benefit Offset Pilot Demonstration (BOPD), which provided a more-generous work incentive for Social Security Disability…Study Type: Causal Impact Analysis
The study’s objective was to estimate the 24-month employment effects of supported employment interventions on people with severe mental illness, focusing on those with schizophrenia. Supported…Study Type: Causal Impact Analysis
The study’s objective was to determine whether supported employment programs improved employment outcomes for Social Security Disability Insurance (SSDI) and Supplemental Security Income (SSI)…Study Type: Causal Impact Analysis
The study’s objective was to examine up to 36 month employment and earnings impacts of the Accelerated Benefits Demonstration (ABD), an effort to provide immediate health insurance and employment…
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.