Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 1 - 10 of 482
Study Type: Causal Impact Analysis
This report’s objective was to examine the effectiveness of the Youth Opportunity (YO) Grant Initiative, which sought to improve job prospects and education outcomes for youth in high-poverty areas…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of supported employment on employment outcomes for youth with intellectual and developmental disabilities. The study used a nonexperimental design.…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 effect of state disability laws—those related to antidiscrimination and reasonable accommodation for employees with disabilities—on commercial banks’ number…Study Type: Causal Impact Analysis
This study examined the impact of the Work Opportunity Tax Credit (WOTC) on employment for veterans with disabilities and unemployed veterans. The study used a nonexperimental design to examine the…Study Type: Causal Impact Analysis
The study examined the impact of receiving public labor exchange (PLX) job referrals and placements on the duration of Unemployment Insurance (UI) benefit receipt for UI recipients in Oregon and…Study Type: Causal Impact Analysis
The study examined the impact of the Worker Profiling Reemployment Services program for Unemployment Insurance (UI) claimants in Wisconsin on several outcomes: the rate at which the UI claimants…Study Type: Causal Impact Analysis
The study’s objective was to assess the effectiveness of Washington State WorkSource job search services. WorkSource services included staff-assisted job matching, provision of labor market…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the JOBS II program on long-term employment, earnings, and monthly hours worked. The authors randomly assigned eligible unemployed individuals to…Study Type: Causal Impact Analysis
The Small + Safe + Well (SSWell) study's objective was to examine the impact of participation in a Total Worker Health® (TWH) leadership development program on small business health and safety…
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.
Little evidence that the effects are caused by the examined intervention.