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 153
Study Type: Causal Impact Analysis
The study assessed the effectiveness of four interventions designed to encourage rapid reemployment among Unemployment Insurance (UI) recipients. The study was a randomized controlled trial with…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’s objective was to examine the long-term impacts of the New Jersey Unemployment Insurance Reemployment Demonstration Project on the unemployment insurance (UI) receipt, employment, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the WorkAdvance sectoral training program at the Towards Employment site on employment, earnings, education, and training from 2011 to 2015. The…Study Type: Causal Impact Analysis
The study examined the impact of a 2001 expansion in eligibility for Disability Compensation (DC) to cover type 2 diabetes for Vietnam-era veterans on their employment, earnings, and public benefit…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the G.I. Bill on education, employment, earnings. The authors used a nonexperimental comparison group analysis to estimate the impact of the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the New Jersey Health Professions Pathways to Regional Excellence Project (NJ-PREP) on earnings and employment outcomes. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Design it–Build it–Ship it (DBS) program on education, employment, and earnings outcomes. The authors used a nonexperimental design to compare…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Wisconsin Making the Future program on education, earnings, and employment outcomes. The study used a nonexperimental design to compare the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Bridging the Gap (BTG) program on education, employment, and earnings outcomes. The authors 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.
