Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 31 - 40 of 60
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the TAACCCT funded Transportation Academy program on education, earnings, and employment outcomes. The study used a nonexperimental design to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Commercial Food Equipment Service Technician (CFEST) program on education, earnings, and employment outcomes. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Illinois Network for Advanced Manufacturing (INAM) program on education, earnings, and employment outcomes. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Los Angeles Healthcare Competencies to Careers Consortium (LAH3C) on education, earnings, and employment outcomes. The authors used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Florida Information Technology Careers for Rural Areas (XCEL-IT) program on education, employment, and earnings outcomes. The authors used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the M-PATH: Advanced Manufacturing Trade Adjustment Assistance Community College and Career Training (TAACCCT) grant program on education, earnings…Study Type: Causal Impact Analysis
The study’s objective was to examine the effect of Project IMPACT (Innovations Moving People to Achieve Certified Training) on earnings and wages. Using community college records and data from the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Northeast Resiliency Consortium (NRC) on education, earnings, and employment outcomes. This summary focuses on the continuing education to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of participation in the Florida Transforming Resources for Accelerated Degrees and Employment (TRADE) Consortium training programs on earnings. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Pathways to Allied Health Professions (PATH) program on education, earnings, and employment outcomes. Using institutional and student survey…
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.
