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 74
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Mississippi River Transportation, Distribution and Logistics (MRTDL) Consortium’s grant-funded programs on education outcomes. This summary…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Mississippi River Transportation, Distribution and Logistics (MRTDL) Consortium’s grant-funded programs on education outcomes. This summary…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 Nevada Community College Consortium (NCCC) Trade Adjustment Assistance Community College and Career Training (TAACCCT) grant program on…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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Multi-State Advanced Manufacturing Consortium (M-SAMC) program participation on education outcomes. This summary focuses on the findings at…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Multi-State Advanced Manufacturing Consortium (M-SAMC) program participation on education outcomes. This summary focuses on the findings at…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Multi-State Advanced Manufacturing Consortium (M-SAMC) program participation on education outcomes. This summary focuses on the findings at…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Multi-State Advanced Manufacturing Consortium (M-SAMC) program participation on education outcomes. This summary focuses on the findings at…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Multi-State Advanced Manufacturing Consortium (M-SAMC) program participation on education outcomes. This summary focuses on the findings at…
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
