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 173
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Vocational Rehabilitation program administered by the Department for Blind and Vision Impaired (DBVI) on participants’ employment and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of California’s minimum staffing regulations for hospital nurses on wages and employment. The author used a non…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of group-based, work-related cognitive-behavioral therapy (CBT) on work-related outcomes of unemployed, homeless people diagnosed with social anxiety…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 providing summer employment support on the employment of youth with emotional and behavioral difficulties. The authors used a randomized controlled…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 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 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 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 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.
