Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 491 - 500 of 513
Study Type: Causal Impact Analysis
The study’s objective was to determine the effectiveness of Ticket to Work (TTW), a program designed to enhance the employment services available to Supplemental Security Income (SSI) and Social…Study Type: Causal Impact Analysis
The study’s objective was to estimate the 24-month employment effects of supported employment on people with severe mental illness. Supported employment interventions use a combination of employment…Study Type: Causal Impact Analysis
This study’s objective was to determine whether benefits and work incentives counseling provided by New York State’s vocational rehabilitation (VR) agency increased earnings and increased the number…Study Type: Descriptive Analysis
This report examined whether a written benefits analysis provided as part of the Utah Benefits Planning Assistance & Outreach Program Vocational Rehabilitation (VR) program was associated with…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 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: Descriptive Analysis
The purpose of this study was to examine individual demographic, disability, and vocational rehabilitation (VR) service factors related to (1) employment status and (2) earnings growth for…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: Causal Impact Analysis
The study’s objective was to determine the impact of participation in Vocational Rehabilitation (VR), a state and federal program, on earnings for people with disabilities. VR provides services and…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.