Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 81 - 90 of 739
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 impact of California’s minimum staffing regulations for hospital nurses on wages and employment. The author used a non-experimental…Study Type: Causal Impact Analysis
The study examined the effect of availability of retiree health insurance (RHI) on a person’s decision to leave a career job (a measure of retirement). Using data from the Health and Retirement…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of an Illinois Public Schools retiree health insurance program on the retirement rates of eligible staff ages 55 to 75. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Trade Adjustment Assistance (TAA) Program on the employment, earnings, and benefit receipt of dislocated workers in Indiana. The author used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult Program on the employment, earnings, and benefit receipt of low-income adults in Indiana. The author used…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Linking Innovation, Knowledge, and Employment (@LIKE) program on employment and education outcomes.The study used a nonexperimental design to…Study Type: Implementation Analysis
This report presents a process study of the national Job Corps program. Initiated in 1964, Job Corps provides comprehensive education and employment skills training to disadvantaged youth ages 16 to…Study Type: Causal Impact Analysis
This study examined the impact of About Face (AF) vocational classes on competitive employment. In this nonexperimental study, the authors used statistical analyses to compare the employment…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…
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.