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 107
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the North Dakota Advanced Manufacturing Skills Training Initiative (NDAMSTI) 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 the TAACCCT funded Transportation Academy program on education, earnings, and employment outcomes. The study used a nonexperimental design to…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Commercial Food Equipment Service Technician (CFEST) program on education, earnings, and employment outcomes. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the enhanced East Los Angeles College’s (ELAC) Technology and Logistics program on student’s education, earnings, and employment outcomes. The…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Illinois Network for Advanced Manufacturing (INAM) program on education, earnings, and employment outcomes. The study used a nonexperimental…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the PluggedInVA (PIVA) program on education and employment outcomes. Using college administrative and state workforce data, the authors conducted a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Los Angeles Healthcare Competencies to Careers Consortium (LAH3C) 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 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 Advanced Manufacturing Pathways (AMP) PLUS program on education and employment 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 Alabama-Florida Technical Employment Network (AF-TEN) on student education 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.
