Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
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 assess the impact of the CCC2NAU program on students’ education outcomes. Using college administrative data, the authors conducted a nonexperimental study to compare…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 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…Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
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…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 two developmental math courses on community college students’ rates of passing, enrollment, completion, persistence, transfer, and graduation. This…Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
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…
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.