Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 51 - 60 of 150
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 impact of the PluggedIn and WorkREADY! advanced manufacturing training program on education, employment, and earnings outcomes. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the enhanced Growing the Economy through Information Technology (Get IT) curricula on student education outcomes. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of The Greater Cincinnati Supply Chain Career and Development Center’s (SCCDC) Supply Chain Management and Materials Handling & Logistics programs…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 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 Mississippi River Transportation, Distribution and Logistics (MRTDL) Consortium’s grant-funded programs on education outcomes. This summary…
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
