Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 601 - 610 of 610
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: Causal Impact Analysis
The studies’ objective was to measure the earnings impacts of the Vermont Work Incentive Initiative (VWII), which provided customized benefits counseling to Social Security disability benefit…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: Causal Impact Analysis
The study examined the impact of state mandates that health insurance plans cover prostate cancer screenings on the earnings and employment of men older than age 50 The study used nonexperimental…Study Type: Causal Impact Analysis
The study examined the impact of removing the Social Security earnings test on Social Security claims, earnings, and labor force participation for female beneficiaries. The study used a statistical…Study Type: Causal Impact Analysis
The study examined the impact of Individual Placement and Support (IPS) on competitive employment for older people with schizophrenia The study was a randomized controlled trial (RCT) conducted at a…Study Type: Causal Impact Analysis
The study objective is to examine the impact of the Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) of 1996 on employment outcomes of foreign-born people and noncitizens…Study Type: Causal Impact Analysis
The study examined the impact of Individual Placement and Support (IPS) on competitive employment for older people with schizophrenia The study was a randomized controlled trial (RCT) and used…
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.