Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 61 - 70 of 105
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Dislocated Worker Program on the employment rate, earnings, and benefit receipt of dislocated workers in…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Dislocated Worker Program’s core, intensive, and training services on the employment rate, earnings, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in a Workforce Investment Act (WIA) occupational skills training (OST) or on-the-job training (OJT) program on employment and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of apprenticeship programs on employment rates, earnings, and benefit receipt. The authors used a nonexperimental method to compare the short-term (3…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Jobs Program on short-term earnings. The authors conducted a randomized controlled trial (RCT). Researchers administered a pre-test two weeks…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 earnings and employment…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Heroes for Hire (H4H) program on education and earnings outcomes. The authors used a nonexperimental design to compare the education outcomes…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a paid supported work program for veterans diagnosed with schizophrenia or schizoaffective disorder on their employment, earnings, wages, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact the Transitional Assistance Program (TAP) had on outcomes related to employment, earnings, and education. The study used statistical models to compare…
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.
