Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 141 - 150 of 610
Study Type: Causal Impact Analysis
The study's objective was to examine the impact of workforce partnership programs on employment and earnings outcomes. This profile focuses on the evaluation of the Partners for a Competitive…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of workforce partnership programs on employment and earnings outcomes. This profile focuses on the evaluation of the Wisconsin Regional Training…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of workforce partnership programs on employment and earnings outcomes. This profile focuses on the evaluation of the Partners for a Competitive…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Jobs-First GAIN on employment, earnings, and public benefits receipt. This profile focuses on the outcomes for the two-parent household sample.…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Jobs-First GAIN on employment, earnings, and public benefits receipt. This profile focuses on the outcomes for the single-parent household sample…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Indiana Welfare Reform on employment, earnings, and public benefits receipt outcomes. This profile focuses on the outcomes for the single…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Indiana Welfare Reform on employment, earnings, and public benefits receipt outcomes. This profile focuses on the outcomes for the single…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of the Back to Work (B2W) and Independent Job Search (IJS) programs on employment, earnings, and public benefits receipt outcomes. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Jobs-Plus on employment and earnings. The study used a difference-in-differences design to compare members in the targeted Jobs-Plus…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Los Angeles Regional Initiative for Social Enterprise (LA:RISE) on employment and earnings. The study was a randomized controlled trial with…
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.