Recently Added
CLEAR searches the existing literature for research relevant to this topic area's focus. Browse the most recently reviewed research below.
Displaying 11 - 20 of 487
Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of learning community developmental math courses on college retention and credit hours earned at Middle Tennessee State University. The study used…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 evaluate the effects of Johnson County Community College’s (JCCC) Accelerated, Collaborative Technology Training Services (ACTTS) project on education outcomes. The…Study Type: Causal Impact Analysis
The purpose of the study was to examine the impact of Nicaragua’s Red de Proteccion Social (RPS) conditional cash transfer (CCT) program on attending school, working, and hours worked for children…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of the Accelerated Study in Associate Programs (ASAP) conducted by the City University of New York (CUNY) on retention, credit accrual, transfer, and…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Supplemental Instruction in college science, technology, engineering, and mathematics (STEM) courses on the course grades earned at San Francisco…Study Type: Causal Impact Analysis
This study’s objective was to evaluate the effectiveness of learning communities as an alternative pedagogical format for students enrolled in developmental reading and English composition courses…Study Type: Causal Impact Analysis
The study’s objective was to evaluate the effects of the Iowa’s Information Technology, Healthcare, Utilities, and Manufacturing (IHUM) Network Consortium project on education outcomes. The authors…Study Type: Causal Impact Analysis
The study’s objective was to examine the impact of Mexico’s conditional cash transfer program (Oportunidades) on school attendance and participation in work for children ages 8 to 14 (during the…Study Type: Causal Impact Analysis
The purpose of the study was to assess the impact of the Kenya Cash Transfer for Orphans and Vulnerable Children Program on child labor and school participation. The study used a randomized…
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.