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 109
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of work-based learning (WBL) on employment and earnings.The study used a nonexperimental design to compare the outcomes of college graduates who…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Year Up program on employment, earnings, education, and public benefits receipt outcomes. The study used a randomized controlled trial to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of America's Promise on employment and earnings outcomes. The study used a nonexperimental design to compare the outcomes of individuals who…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Fund for Wisconsin Scholars (FFWS) on employment and earnings. This profile focuses on the outcomes for students enrolled in four-year colleges…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of government-sponsored employment programs on employment and earnings outcomes. The study used a nonexperimental design to compare the outcomes…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participating in apprenticeship programs registered with the state of Washington on employment rates, earnings, and benefit receipt. The authors…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 rate, earnings, and benefit receipt of low-income adults in Washington State.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Youth Program, held on community and technical college campuses, on the employment rate and earnings of low-…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of community and technical college campus Adult Basic Education (ABE) programs on the employment rate, earnings, and benefit receipt of adults in…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Department of Services for the Blind (DSB) program on the employment rate and earnings of low-income adults who are blind. The authors used a…
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.
