Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 17 of 17
Study Type: Causal Impact Analysis
The study evaluated the one-year impacts of a U.S. Department of Veterans Affairs (VA) model of assertive community treatment for veterans with serious mental illnesses known as Intensive…Study Type: Causal Impact Analysis
The study examined the impact of Disability Compensation (DC) enrollment and benefit amount on labor force participation and earnings. The authors also examined the impact of the expansion of…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of the Online2Workforce (O2W) program on education, earnings, and employment outcomes. The authors used a nonexperimental design to compare the…Study Type: Causal Impact Analysis
The study’s objective was to examine the consequences of the Americans with Disabilities Act (ADA) on the employment and wages of people with disabilities. The main analysis estimated regression…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
The study examined whether the strong age discrimination laws moderated the impact of the Great Recession on employment outcomes of older workers. The study used statistical models and the data from…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…
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.
