Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 51 - 60 of 109
Study Type: Causal Impact Analysis
The study’s objective was to examine the relationship between formal training and promotion for managers. The author investigated similar research questions in another study, the profile of which is…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’s objective was to examine the impact of Trade Adjustment Assistance (TAA) on the employment and earnings of displaced manufacturing workers. The authors investigated similar research…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of job placement through the Hoosier Initiative for Reentry Employment (HIRE) program on recidivism among people released from Indiana prisons in 2014…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of obtaining a general education diploma (GED) while in prison from 1994 to 2000 in Florida on male prisoners’ post-incarceration employment, earnings…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of required contacts with employers on Unemployment Insurance (UI) claimants’ employment and UI benefit receipt. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Jobs Program on long-term earnings and monthly hours worked. The authors conducted a randomized controlled trial (RCT). Researchers…Study Type: Causal Impact Analysis
The study’s objective was to measure employment and earnings impacts for the four State Partnership Initiative (SPI) sites that implemented the Supplemental Security Income (SSI) Work Incentives…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the University of the District of Columbia Community College (UDC-CC) grant-funded healthcare and hospitality programs on education, earnings, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the University of the District of Columbia Community College (UDC-CC) grant-funded healthcare and hospitality programs on earnings and employment…
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.
