Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 71 - 80 of 80
Study Type: Causal Impact Analysis
The study’s objective was to measure eight-month impacts for Stage 1 of the Benefit Offset National Demonstration (BOND), which tested whether a more-generous work incentive for Social Security…Study Type: Causal Impact Analysis
The study’s objective was to measure 12-month impacts of the West Virginia Youth Works project, one of six project sites of the larger Social Security Administration (SSA)-sponsored Youth Transition…Study Type: Causal Impact Analysis
This study’s objective was to measure 12-month impacts of the Maryland Career Transitions Program (CTP), one of six project sites of the larger Social Security Administration (SSA)-sponsored Youth…Study Type: Causal Impact Analysis
This study’s objective was to measure 12-month impacts of the Transition WORKS, one of six project sites of the larger Social Security Administration (SSA)–sponsored Youth Transition Demonstration (…Study Type: Causal Impact Analysis
This study’s objective was to measure 12-month impacts of the City University of New York (CUNY) Youth Transition Demonstration Project (YTDP) in the Bronx, one of six project sites of the larger…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: Causal Impact Analysis
The report’s objective was to examine the impacts of the Demonstration to Maintain Independence and Employment (DMIE). DMIE was implemented in Hawaii, Kansas, Minnesota, and Texas with the aim of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Mental Health Treatment Study (MHTS), which provided supported employment services to Social Security Disability Insurance (SSDI) recipients…Study Type: Causal Impact Analysis
This study’s objective was to examine short-term (that is, 6- to 12-month) impacts of the Demonstration to Maintain Independence and Employment (DMIE). DMIE was implemented in Hawaii, Kansas,…Study Type: Causal Impact Analysis
The report’s objective was to examine the impacts of the Demonstration to Maintain Independence and Employment (DMIE) in the Texas site. The DMIE was designed to prevent or delay people with…
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.
