Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 151 - 160 of 217
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the WorkAdvance sectoral training program at the Per Scholas site on employment, earnings, and education and training from 2011 to 2015. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the WorkAdvance sectoral training program at the St. Nicks Alliance site on employment, earnings, education, and training from 2011 to 2015. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Individual Placement and Support (IPS) intervention on employment and recidivism outcomes relative to a job club program called Work Choice.…Study Type: Causal Impact Analysis
The study examines the effectiveness of a prison work program, Prison Industry Enhancement Certification Program (PIECP), on employment, earnings, and recidivism. The author used a nonexperimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of more-stringent work search requirements for unemployment insurance (UI) claimants on earnings, employment, and UI benefit receipt outcomes over a…Study Type: Causal Impact Analysis
The study’s objective was to determine the impact of a more-stringent work test and enhanced employment services on Unemployment Insurance (UI) claimants’ benefits receipt and reemployment outcomes…Study Type: Causal Impact Analysis
The study estimated the impacts of Washington State’s Self-Employment and Enterprise Demonstration (SEED) and the Massachusetts Enterprise Project. Both programs sought to determine how feasible…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of the Reemployment and Eligibility Assessment (REA) Initiative in Florida, a program that provided eligibility and reemployment case…Study Type: Causal Impact Analysis
This study’s objective was to assess the effectiveness of New Jersey and Illinois programs that aimed to encourage faster reemployment among Unemployment Insurance (UI) recipients by offering them…Study Type: Causal Impact Analysis
The study’s objective was to examine the short-term impacts of the New Jersey Unemployment Insurance Reemployment Demonstration Project on the unemployment insurance (UI) receipt, employment, and…
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.
