Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 271 - 280 of 511
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Design it–Build it–Ship it (DBS) program on education, employment, and earnings outcomes. The authors used a nonexperimental design to compare…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Advanced Manufacturing Pathways (AMP) PLUS program on education and employment outcomes. The authors used a nonexperimental design to compare…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Alabama-Florida Technical Employment Network (AF-TEN) on student education 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 Northeast Resiliency Consortium (NRC) on education, earnings, and employment outcomes. This summary focuses on the comprehensive support…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 the Wisconsin Making the Future program on education, earnings, and employment outcomes. The study used a nonexperimental design to compare the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Health Profession Opportunity Grant (HPOG) program on educational progress, earnings, and employment. The authors used a randomized controlled…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Retraining the Gulf Coast Workforce through Information Technology Pathways Consortium (Gulf Coast IT Pathways) grant program on education…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of the Advancing Careers and Training for Healthcare (ACT for Healthcare) program on education, earnings, and employment outcomes. Using college…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Greater Memphis Alliance for a Competitive Workforce (GMACW) Trade Adjustment Assistance Community College and Career Training (TAACCCT) grant…
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.