Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 291 - 300 of 304
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 Minnesota site. The DMIE was designed to prevent or delay people with…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: Descriptive Analysis
This report described the Youth Transition Demonstration project implemented by the City University of New York. The project enrolled 400 youth ages 15 to 18 in the Bronx who had disabilities and…Study Type: Descriptive Analysis
This study used administrative data files constructed for the Ticket to Work (TTW) evaluation. These files contained extensive information on the more than 20 million Disability Insurance or…Study Type: Descriptive Analysis
This study produced statistics on the first month of suspension or termination for work for Social Security Disability Insurance (DI) and Supplemental Security Income (SSI)-only recipients. It also…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…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
This study’s objective was to report impacts for Project NetWork. Created by the Social Security Administration (SSA), Project NetWork tested specific approaches to improving employment among Social…Study Type: Descriptive Analysis
This study used data from the New Beneficiary Survey and claims folders to describe the experiences of recipients’ experiences under Social Security Disability Insurance (DI) work incentive…Study Type: Causal Impact Analysis
The study examined the impact of state-level reforms of health insurance on early retirement and Social Security retirement benefit claims. The authors used 1996–2010 data from the Health 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.