Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 71 - 80 of 255
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of CareerAdvance on education, employment, and earnings outcomes. The study used a nonexperimental design to compare the outcomes of parents who…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Direct Support Program (DSP) on child labor and schooling outcomes in Ethiopia. The study used a matched-comparison group design. Using data…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Public Work Program (PWP) on child labor and schooling outcomes in rural Ethiopia. The study used a matched-comparison group design. Using data…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Agricultural Extension Support Program (AEP) on child labor and schooling outcomes in rural Ethiopia. The study used a matched-comparison group…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) adult program’s training services on the employment and earnings of low-income adults. The authors investigated…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) dislocated worker program’s training services on the employment and earnings of dislocated workers. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Missouri’s welfare-to-work program training activities on the quarterly earnings of women ages 18 to 65 years in single-parent households who were…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of North Carolina’s welfare-to-work program training activities on the quarterly earnings of women ages 18 to 65 years in single-parent households who…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…
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.