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 21
Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of Accelerated Training for Illinois Manufacturing (ATIM) Program, a workforce training intervention, on education, employment, and earnings outcomes.…Study Type: Causal Impact Analysis
The study’s objective was to examine whether participation in the Workforce Investment Act (WIA) Adult Program services increased participants' earnings and if so, whether those gains were greater…Study Type: Causal Impact Analysis
The study’s objective was to examine whether participation in the Workforce Investment Act (WIA) Dislocated Worker Program services increased participants' earnings and if so, whether those gains…Study Type: Causal Impact Analysis
The evaluation’s objective was to examine the effects of the Summer Career Exploration Program (SCEP) on short-term earnings, employment, and other outcomes. SCEP offers youth job-related counseling…Study Type: Causal Impact Analysis
The study’s objective was to determine the impact of the offer to enroll in Job Training Partnership Act (JTPA) Title II-A programs on labor market earnings, educational and training participation…Study Type: Causal Impact Analysis
The study examined the impact of Project QUEST on employment, earnings, education, and public benefits receipt outcomes.The study was a randomized controlled trial that assigned participants to the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Oregon’s four-day school week (4dsw) policy on employment and earnings and wages.The authors used a difference-in-differences design to estimate the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of minimum wage tip credits on earnings and employment outcomes.The study used a nonexperimental design to compare the effects of wage tip credits on…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Medicaid health insurance access on annual earnings.The study used a nonexperimental design with survey data collected from the Oregon Health…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of work-based courses on employment and earnings. The study used a nonexperimental design to compare outcomes of students who enrolled in work-…
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.
Domain
Effectiveness icon
