Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 551 - 560 of 776
Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of Accelerated Training for Illinois Manufacturing (ATIM) Program, a workforce training intervention, on education, employment, and earnings outcomes.…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 examine the impact of the Bridging the Gap (BTG) program on education, employment, and earnings outcomes. The authors used a nonexperimental design to compare the…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Vincennes University Logistics Training and Education Center (LTEC) initiative on employment and earnings outcomes. This summary focuses on the…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 Grand Rapids Community College (GRCC) Pathways to Prosperity program on education, earnings, and employment outcomes. The study was a…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 Leveraging, Integrating, Networking, and Coordinating Supplies (LINCS) program on employment and earnings. Using a nonexperimental design, the…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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Michigan Coalition for Advanced Manufacturing (M-CAM) program on earnings and employment outcomes. The study used a nonexperimental design to…
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.