Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 591 - 600 of 794
Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of the Pathways to Healthcare program on students’ education and employment outcomes. The study used a randomized controlled trial to compare outcomes…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Kansas Technical Re/training Among Industry-targeted Networks (KanTRAIN) program on education, earnings, and employment outcomes. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Shipbuilding/Marine Advanced Manufacturing Institute (SAMI) program on earnings and employment outcomes. Using data from the SAMI program…Study Type: Causal Impact Analysis
The study’s objective was to examine the effects of the University of Vermont’s (UVM) Science, Technology, Engineering and Math (STEM) Connect program on earnings and employment outcomes. The study…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Consortium for Healthcare Education Online (CHEO) on education, earnings, and employment outcomes. This summary contains the findings from…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Consortium for Healthcare Education Online (CHEO) on education, earnings, and employment outcomes. This summary contains the findings from…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of a retail store management intervention on voluntary employee turnover. The author used a nonexperimental design to compare the rate of voluntary…Study Type: Causal Impact Analysis
The study aimed to examine the impact of a strengths-based case management intervention on veterans’ employment and earnings. Even though the treatment and control groups were randomly assigned, the…Study Type: Causal Impact Analysis
The study examined the impact of supported employment on the employment outcomes for veterans with spinal cord injuries. The authors used statistical comparisons in a non-experimental analysis to…Study Type: Causal Impact Analysis
The study aimed to examine the impact of supported employment on the employment outcomes of veterans with spinal cord injuries. The study included a randomized controlled trial and collected self-…
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.