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 84
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Dislocated Worker Program on the employment rate, earnings, and benefit receipt of dislocated workers in…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of compressed delivery of a World Class Shipbuilding apprenticeship program on program retention. The Apprentice School of Newport News Shipbuilding…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Seattle Minimum Wage Ordinance on employment, earnings, and wages.Using state administrative employment data, the authors conducted a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the risk control (RC) intervention on public benefits receipt, including workers’ compensation claim rate, workers’ compensation lost-time claim…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Independent Living Services (ILS) on high school graduation, post-secondary educational attainment, and full-time employment. Using survey and…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Supported Employment (SE), through Vocational Rehabilitation (VR), on competitive employment. The study used a regression matched comparison…Study Type: Causal Impact Analysis
The study examined the impact of the expansion of health insurance for veterans through the U.S. Department of Veterans Affairs (VA) in the mid-1990s (as a result of the implementation of the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Health Care Personnel Enhancement Act’s (HCPEA) authorization of flexible, and potentially more generous, pay…Study Type: Causal Impact Analysis
The study’s objective was to evaluate the effect of participating in a juvenile drug court in Farmington, New Mexico, on recidivism. The author used historical data from official court records to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Vocational Rehabilitation program administered by the Department for Blind and Vision Impaired (DBVI) on participants’ employment and…
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.