Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 361 - 370 of 776
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Per Scholas sectoral employment program on participants’ earnings and employment. The study was a randomized controlled trial and used survey…Study Type: Causal Impact Analysis
This study examines the relationship between mentoring and employees’ employment outcomes. Specifically, the study examines the relationship between psychosocial mentoring and turnover intention.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Wisconsin Regional Training Partnership’s (WRTP) sectoral employment program on earnings and employment. The study was based on a randomized…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of sector-focused career centers in New York City on employment and earnings. The authors estimated the effect of sector-focused career centers by…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Jewish Vocational Service (JVS)-Boston sectoral employment program on earnings and employment. The study was based on a randomized controlled…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 30 months. This summary focuses on the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 30 months. This summary focuses on the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Adult and Dislocated Worker programs on training, employment, earnings, and service receipt after 30 months. This summary focuses on the…Study Type: Causal Impact Analysis
The study assessed the effectiveness of a reemployment bonus on the reemployment rates of Unemployment Insurance (UI) claimants with differing expectations of being recalled to their previous jobs.…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Accelerating Connections to Employment (ACE) program on education, earnings, and employment outcomes. The authors used a randomized controlled…
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.