Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in Illinois, a program that provided eligibility and reemployment case…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Reintegration of Ex-Offenders (RExO) programs on employment, earnings, public benefits receipt, and recidivism outcomes. The study was a randomized…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 15 months. This…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 15 months. This…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 15 months. This…Study Type: Causal Impact Analysis
The study assessed the impacts of four different work search policy approaches implemented through the Washington Alternative Work Search Experiment on Unemployment Insurance (UI) benefits receipt,…Study Type: Causal Impact Analysis
The study estimated the effect of mandatory participation in a job search workshop for Unemployment Insurance (UI) recipients separated indefinitely from their previous employers. The study was a…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in North Dakota, a program that provided eligibility and reemployment case…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Enhanced Early Head Start (EHS) participation on employment, earnings, public assistance receipt, and education for low-income families with young…Study Type: Causal Impact Analysis
The study’s objective was to estimate the impact of pre- and post-employment job supports and intensive case management on former welfare recipients’ employment and benefits receipt outcomes after…
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.