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 - 20 of 221
Study Type: Causal Impact Analysis
The study examined the impact of changes in Social Security Administration (SSA) retirement rules on men’s labor force participation rates in the 1960s–1980s and 1990s–2000s. The study used…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Accelerating Connections to Employment (ACE) program on education, earnings, and employment outcomes. The authors used a randomized controlled…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of One Summer Chicago Plus (OSC+) on education, employment, and earnings outcomes. This profile focuses on the 2012 eight-week intervention. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of being matched to employment through the Demand-Side Youth Offender Demonstration Project (DSYODP) Phase I on youths’ average weekly earnings. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the Workforce Investment Act (WIA) Adult Program’s impact on workers’ employment and earnings in 12 states. The authors analyzed administrative data to compare…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of registered apprenticeships on employment and earnings for dislocated workers. This study used a nonexperimental design to compare the outcomes of…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Structured Training and Employment Transitional Services (STETS) program on employment rates, earnings, and Social Security Disability Income (…Study Type: Causal Impact Analysis
The study’s objective was to examine the Workforce Investment Act (WIA) Dislocated Worker Program’s impact on workers’ employment and earnings in 12 states. The authors analyzed administrative data…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of State Vocational Rehabilitation Agency (SVRA) services on employment and public benefits receipt outcomes.The study used a nonexperimental design to…Study Type: Causal Impact Analysis
The study examined the impact of the SourceAmerica Pathways to Careers program on obtaining competitive integrated employment (CIE) for at least 90 days. The study used a nonexperimental design to…
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.
