Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 491 - 500 of 794
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult Program’s core, intensive, and training services on the employment rate, earnings, and benefits receipt of…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 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 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 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 examine the impact of less-stringent work search requirements for unemployment insurance (UI) claimants on earnings, employment, and UI benefit receipt over a nine-year…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 Texas Worker Adjustment Demonstration on the Unemployment Insurance (UI) receipt, employment, and earnings of UI claimants one year after…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…
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.