Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 371 - 380 of 511
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Consortium for Healthcare Education Online (CHEO) on education, earnings, and employment outcomes. This summary contains the findings from…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Quantway® 1 math program on community college students’ developmental math completion rates. The authors used a nonexperimental design to…Study Type: Causal Impact Analysis
The study’s objective was to evaluate the impact of Statway® on community college students’ earning of math course credits. The study used a nonexperimental design to compare the outcomes of…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…Study Type: Causal Impact Analysis
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…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Accelerating Career & Technical Education (CTE) program on community college students’ credential completion. The author compared outcomes…Study Type: Causal Impact Analysis
The study’s objective is to examine the impact of the CUNY Start program on community college students’ enrollment rates, college readiness, and credits attempted and earned. The study used a…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the First Year Initiative (FYI) program on community college students’ re-enrollment rates and successful completion of developmental math and…
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.