Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 61 - 70 of 83
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the ShaleNET program on earnings and employment. The study used a nonexperimental design to compare the outcomes of students who were in ShaleNET…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Industrial Automation Manufacturing innovative Strategic Training Achieving Results (IAM iSTAR) initiative on earnings and employment outcomes…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Information Technology – Credentials to Careers (ITC2) program 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 New Mexico Junior College’s (NMJC) TAACCCT program on 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 Trade Adjustment Assistance Community College and Career Training (TAACCCT) grant-enhanced Waubonsee Community College (WCC) programs on student…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Logistics Training and Education Center (LTEC) initiative on employment and earnings outcomes. This summary focuses on the estimated outcomes…Study Type: Causal Impact Analysis
The study’s objective was to evaluate the impact of advanced manufacturing programs offered through the Ohio Technical Skills Innovation Network (OTN) initiative on education, earnings, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Kansas City Kansas Community College’s Training for Employment (T4E) program on student education, earnings, and employment outcomes. The study…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Ozarks Technical Community College (OTC) Trade Adjustment Assistance Community College and Career Training (TAACCCT) grant on student’s…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Camden County College (CCC) workforce development program on earnings and employment outcomes. Using the New Jersey Unemployment Insurance (UI…
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.
