Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 41 - 50 of 147
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact the Transitional Assistance Program (TAP) had on outcomes related to employment, earnings, and education. The study used statistical models to compare…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the World War II (WWII) G.I. Bill on years of college completed and college completion. The authors used nonexperimental analyses to compare…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the grant-funded DC Construction Academy (DCCA) program on education outcomes. The study used a nonexperimental design to compare the education…Study Type: Causal Impact Analysis
The study’s objective was to evaluate the effects of Johnson County Community College’s (JCCC) Accelerated, Collaborative Technology Training Services (ACTTS) project on education outcomes. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the enhanced Health Information Technology Career Mobility (HITCM) program on education outcomes. The author used a nonexperimental design to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the enhanced East Los Angeles College’s (ELAC) Technology and Logistics program on student’s education, earnings, and employment outcomes. The…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 Quincy College Biotechnology and Compliance 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 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…
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.
Domain
Effectiveness icon
