Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 531 - 540 of 776
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Pathways to Allied Health Professions (PATH) program on education, earnings, and employment outcomes. Using institutional and student survey…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the CyberSecurity Career Pathways Program (CSCPP) on education, earnings, and employment outcomes. The authors used a nonexperimental design to…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 the Pathways to Engineering Technology Careers (PETC) program on earnings and employment outcomes. Using student surveys and wage data, the study…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Iowa Advanced Manufacturing Consortium (I-AM) on welding student’s education, earnings, and employment outcomes. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Skill‐UP Network Pathways Acceleration in Technology and Healthcare (SUN PATH) program on education, earnings, and employment outcomes. The…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 the Missouri STEM Workforce Innovation Networks (MoSTEMWINs) program on education and employment outcomes. The authors used a nonexperimental…
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.