Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 751 - 760 of 794
Study Type: Descriptive Analysis
This study used a sequential response model of conditional probabilities to examine the impact of characteristics of Supplemental Security Income (SSI) recipients on participation in the New York…Study Type: Descriptive Analysis
The objective of this study was to examine the outcomes of supported employment 10 years after an initial demonstration project. Authors interviewed 36 of 62 clients who had participated in 1990 or…Study Type: Descriptive Analysis
This study combined data from an impact evaluation and an associated process study of the Transitional Employment Intervention (TEI) to identify effective supported employment services for people…Study Type: Causal Impact Analysis
The study’s objective was to determine the long-term effects of an intervention designed to improve employment and earnings outcomes among Supplemental Security Income (SSI) recipients with…Study Type: Descriptive Analysis
This study followed a sample of working-age Social Security Disability Insurance (DI) program recipients for five years after their first benefit award to describe how certain factors helped or…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: 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 followed a cohort of working-age Supplemental Security Income and Social Security Disability Insurance recipients participating in the Ticket to Work (TTW) program for several years to…Study Type: Descriptive Analysis
This article described the variation in employment rates of Social Security Disability Insurance (DI) and Supplemental Security Income recipients over time and across states using a consistent…
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.