Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 151 - 160 of 165
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Design it–Build it–Ship it (DBS) program on education, 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 the Missouri STEM Workforce Innovation Networks (MoSTEMWINs) program on education and employment outcomes. The authors used a nonexperimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Crowder College’s enhanced Public Safety and Emergency Medical Initiative (PSP) program on education and employment outcomes. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Missouri’s Manufacturing Workforce Innovation Networks(MMW) program on student education and employment outcomes. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Minnesota Advanced Manufacturing Partnership (MnAMP) program on education 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 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 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 examine the effects of the University of Vermont’s (UVM) Science, Technology, Engineering and Math (STEM) Connect program on earnings and employment outcomes. The study…Net impact study on annual earnings for the training benefits program 2002-2012 (Aviles et al. 2015)
Study Type: Causal Impact Analysis
The study’s objective was to evaluate the impact and cost-benefit of the Training Benefits program on participants’ employment, earnings, and unemployment benefits. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Transitional Jobs Reentry Demonstration (TJRD) on ex-offenders’ employment and wages. The author used a randomized controlled trial to assign…
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.