Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 401 - 410 of 511
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Engineering Tutors and Leaning Communities (TLC) program on community college engineering students’ retention and graduation/transfer rates.…Study Type: Causal Impact Analysis
The study’s objective was to evaluate the impact of InsideTrack student coaching on students’ persistence in college and degree completion. The study was a randomized controlled trial carried out…Study Type: Causal Impact Analysis
The study aimed to examine the impact of the Opening Doors learning communities at Kingsborough Community College in New York on progress toward completing a degree, actual completion of a degree,…Study Type: Causal Impact Analysis
The study’s objective was to evaluate the impact of learning communities (linked courses coupled with special services, such as in-course tutoring) on course passage rates for students enrolled in…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of learning communities on academic progression among students in need of developmental English courses at Merced Community College in Merced,…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of career-focused learning communities at Kingsborough Community College in New York on progress toward and completing a degree. Students with eight…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of learning communities on community college students’ persistence from freshman to sophomore year, an outcome in the progress toward degree…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Opening Doors learning community program at Kingsborough Community College in Brooklyn, New York, on students’ persistence, course completion…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Joint/Dual (JD) program on retention and graduation rates for community college and undergraduate engineering students who were under-…Study Type: Causal Impact Analysis
The study’s objective was to examine the effectiveness of the Accelerated Study in Associate Programs (ASAP) at three City University of New York (CUNY) schools on credits earned and completion 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.