Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 761 - 770 of 794
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Veterans Health Administration (VHA) Transitional Work Experience (TWE) program on employment and income for veterans with substance abuse and…Study Type: Descriptive Analysis
In 15 rigorous evaluations, Individual Placement and Supprt (IPS) has demonstrated better competitive employment outcomes for people with severe mental illness (SMI) than day treatment or other…Study Type: Causal Impact Analysis
This study’s objective was to examine 24-month impacts for Utah’s Benefit Offset Pilot Demonstration (BOPD), which provided a more-generous work incentive for Social Security Disability Insurance (…Study Type: Causal Impact Analysis
This study’s objective was to examine 24-month impacts for Vermont’s Benefit Offset Pilot Demonstration (BOPD), which provided a more generous work incentive for Social Security Disability Insurance…Study Type: Descriptive Analysis
This exploratory study reinterviewed 38 participants in two supported employment studies 8 to 12 years later to examine their long-term employment trajectories. Both groups were adults with…Study Type: Causal Impact Analysis
The study’s objective was to measure short-term impacts for the three State Partnership Initiative (SPI) sites whose effectiveness was evaluated using a randomized controlled trial. SPI was meant to…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 effect of the introduction of Medicare Part D on self-employment. The authors used a nonexperimental approach and data from the American Community Survey to estimate the…Study Type: Causal Impact Analysis
The study examined the impact of the Affordable Care Act (ACA) on the employment outcomes of older workers. The author used data from the Current Population Survey for 2011–2016 and regression…
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.