Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 281 - 290 of 794
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Rapid Employment Model (REM) program on participants’ employment, earnings, and Unemployment Insurance (UI) benefit claims. (See the CLEAR…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) adult program’s training services on the employment and earnings of low-income adults. The authors used…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Wagner-Peyser/Employment Service program on outcomes of employment, earnings, and credential completion. The study used an interrupted time…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Youth Program on the employment and earnings of low-income youths in Indiana State. The author used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult Program on the employment, earnings, and benefit receipt of low-income adults in Indiana. The author used…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 low-income adults who are…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Training Adjustment Assistance (TAA) program on employment and credential completion. The study used administrative records to compare outcomes…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Trade Adjustment Assistance (TAA) Program on the employment, earnings, and benefit receipt of dislocated workers in Indiana. The author used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Adult Education and Literacy (AEL) program on participants’ employment and credential completion. The study used administrative records to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Vocational Rehabilitation program administered by Department of Rehabilitative Services (DRS) on participants’ employment and credential…
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.