Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 581 - 590 of 610
Study Type: Causal Impact Analysis
This study’s objective was to measure 12-month impacts of the Florida Broadened Horizons, Brighter Futures (BHBF) program, one of six project sites of the larger Youth Transition Demonstration (YTD…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 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 the Benefit Offset Pilot Demonstration (BOPD), which provided a more-generous work incentive for Social Security Disability Insurance (SSDI)…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 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…
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.