Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 101 - 110 of 186
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of temporary-help and direct-hire jobs through the Work First program (a welfare-to-work program) on the earnings and employment of low-skilled…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of taking community college courses on the earnings of displaced workers in Washington State. The authors matched data from unemployment insurance…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of earning community college degrees, diplomas, and certificates on students’ later earnings. Using administrative data from the Kentucky Community…Study Type: Causal Impact Analysis
The study examined whether obtaining a secondary degree through Minnesota’s Department of Corrections (MnDOC) affected former inmates’ post-release employment, earnings, and recidivism. The authors…Study Type: Causal Impact Analysis
The study examined whether obtaining a post-secondary degree through Minnesota’s Department of Corrections (MnDOC) affected former inmates’ post-release employment, earnings, and recidivism. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the BlendFlex program on community college students’ education outcomes. The study used a nonexperimental design to compare outcomes of students…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Project GROW (Growing Regional Opportunities for the Workforce) on education, earnings, and employment outcomes. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of community college schooling on displaced workers’ earnings and employment outcomes. This summary focuses on the Washington State sample. The study…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Displaced Workers Educational Training Program (DWETP) on earnings. This summary focuses on the Pittsburgh sample. The study used a…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Washington State Employment and Training Act of 1993 (ESHB 1988) on earnings. The study used a nonexperimental design to compare the earnings…
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.
Evidence that the effects are caused to some degree by the examined intervention.