Education and skills gains-Mod/high-Favorable impacts

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KCTCS Enhancing Programs for IT Certification (EPIC): Independent evaluation contracted by the Kentucky Community and Technical College System (Hughes et al. 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to assess the impact of the Enhancing Programs for IT Certification’s (EPIC) Learn on Demand (LoD) courses on community college students’ education outcomes. This summary…
KCTCS Enhancing Programs for IT Certification (EPIC): Independent evaluation contracted by the Kentucky Community and Technical College System (Hughes et al 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to assess the impact of the Enhancing Programs for IT Certification’s (EPIC) Learn on Demand (LoD) courses on community college students’ education outcomes. This summary…
Washington State’s Integrated Basic Education and Skills Training (I-BEST) program in three colleges: Implementation and early impact report (Report No. 2018-87) (Glosser et al 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of the Washington State Integrated Basic Education and Skills Training (I-BEST) program on education outcomes. The study was a randomized controlled…
Pima Community College Pathways to Healthcare Program: Implementation and early impact report (Report No. 2017-10) (Gardiner et al 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
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…
Innovative pathways through developmental education and postsecondary success: An examination of developmental math interventions across Texas (Weisburst 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of two developmental math courses on community college students’ rates of passing, enrollment, completion, persistence, transfer, and graduation. This…
Innovative pathways through developmental education and postsecondary success: An examination of developmental math interventions across Texas (Weisburst 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of two developmental math courses on community college students’ rates of passing, enrollment, completion, persistence, transfer, and graduation. This…
Starting to succeed: The impact of CUNY Start on academic momentum (Webber 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the CUNY Start program on community college students’ gateway course completion. The study used a nonexperimental design to compare the outcomes of…
Doubling graduation rates in a new state: Two-year findings from the ASAP Ohio demonstration (Sommo et al. 2018)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of Ohio’s Accelerated Study in Associate Programs (ASAP) on community college students’ persistence, credit accumulation, and degree completion rates…
Four-year degree and employment findings from a randomized controlled trial of a one-year performance-based scholarship program in Ohio (Mayer, Patel, & Gutierrez 2016)
Study Type: Causal Impact Analysis
Causal Evidence Rating: High Causal Evidence
The study’s objective was to examine the impact of a performance-based scholarship program on community college students’ credit accumulation, degree/certificate completion, employment, and earnings…
Quantitative analysis of an urban community college S-STEM program (Chapman 2017)
Study Type: Causal Impact Analysis
Causal Evidence Rating: Moderate Causal Evidence
The study’s objective was to examine the impact of the Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) program on community college students’ success and progress. The…

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.