Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 561 - 570 of 776
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Butler Community College Trade Adjustment Assistance Community College and Career Training (TAACCCT) grant on education, earnings, and…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of degree and certificate programming offered at Linn-Benton Community College’s (LBCC) iLearn campus compared to traditional programming offered at…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of Project IMPACT on education, earnings, and employment outcomes. Using academic records from the college as well as data obtained from the Kentucky…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of the Online2Workforce (O2W) program on education, earnings, and employment 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 enhancements to the Rural Information Technology Alliance (RITA) program on education, earnings, and employment outcomes. The authors used a…Study Type: Causal Impact Analysis
This study’s objective was to examine the impact of the Advanced Manufacturing Education (AME) Alliance on education, earnings, and employment outcomes. The author used a nonexperimental design to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Golden Triangle Modern Manufacturing Project on education, earnings, and employment outcomes. The author used a nonexperimental design to…Study Type: Causal Impact Analysis
The study’s objective was to assess the impact of the Pathways to Healthcare program on students’ education and employment outcomes. The study used a randomized controlled trial to compare outcomes…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Kansas Technical Re/training Among Industry-targeted Networks (KanTRAIN) program on education, earnings, and employment outcomes. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Shipbuilding/Marine Advanced Manufacturing Institute (SAMI) program on earnings and employment outcomes. Using data from the SAMI program…
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.