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 183
Study Type: Causal Impact Analysis
The authors examine the impact of participation in Minnesota’s Affordable Homes Program (AHP) on post-release employment, earnings, and recidivism outcomes for people who were previously…Study Type: Causal Impact Analysis
The study assessed the effectiveness of Worker Profiling and Reemployment Services (WPRS), a system for predicting which Unemployment Insurance (UI) recipients are at greatest risk of exhausting…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Texas Worker Adjustment Demonstration on the Unemployment Insurance (UI) receipt, employment, and earnings of UI claimants one year after…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) initiative in Minnesota, a program that provided eligibility and reemployment case…Study Type: Causal Impact Analysis
The study examined the impact of Disability Compensation (DC) enrollment and benefit amount on labor force participation and earnings. The authors also examined the impact of the expansion of…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of an online financial education module on financial knowledge. This profile focuses on the comparison between the intensive intervention group and the…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of Individual Placement and Support (IPS) on employment. The study was a randomized control trial that assigned 45 individuals with moderate to…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of California's Proposition 36-funded employment services on employment, earnings, public benefit receipt, and health and safety. Using outcome…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of work-based courses on employment and earnings. The study used a nonexperimental design to compare outcomes of students who enrolled in work-…Study Type: Causal Impact Analysis
The study's objective was to examine the impact of internships and cooperative programs at community colleges on post-graduation wages. The study used a nonexperimental design to compare 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.
Evidence that the effects are caused to some degree by the examined intervention.