Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 111 - 120 of 511
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of unconditional cash transfers on child labor and school attendance in Malawi and Zambia. This summary focuses on the Malawi Social Cash Transfer…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of workshops for job seekers on employment and training outcomes. The study used a randomized controlled trial (RCT) design, in which eligible…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 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 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 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 Trade Adjustment Assistance (TAA) Program on education and training, employment, earnings, and public benefit receipt. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Summer Youth Employment Program (SYEP) on the employment rate, earnings, and college enrollment of New York City youth 14 to 21 years old. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of individual training account (ITA) programs on employment, earnings, education and training, and benefit receipt. The authors conducted a randomized…
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.