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 482
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Adult Program on the earnings of low-income adults ages 18 to 64 in Washington State. The author assigned…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Texas Employment Retention and Advancement (ERA) program on employment entry and retention in two sites: Corpus Christi and Fort Worth. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Workforce Investment Act (WIA) Title I program for adults (including dislocated workers) on participants’ employment and credential completion…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 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 Carl Perkins Postsecondary Career and Technical Education (CTE) program on employment and credential completion. The authors used…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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Trade Adjustment Assistance (TAA) Program on the wages of dislocated workers. The author used a nonexperimental method to compare the earnings…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the New York City Substance Abuse Case Management (SACM) program on employment, earnings, and public assistance receipt. The SACM program is part…
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.
Little evidence that the effects are caused by the examined intervention.