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Direct linkJordan Rickles; Sarah Peko-Spicer; Iliana Brodziak De Los Reyes; Peggy Clements – Society for Research on Educational Effectiveness, 2023
Background: Over the past decade, schools across the United States increasingly turned to online learning (Gemin, Pape, Vashaw, & Watson, 2015; Queen & Lewis, 2011). While many espouse the promise of online credit recovery (OCR) courses, the abrupt shift to online learning during the COVID-19 pandemic renewed concerns about theses courses'…
Descriptors: High Schools, Credits, Online Courses, Graduation
Wu, Edward; Gagnon-Bartsch, Johann A. – Journal of Educational and Behavioral Statistics, 2021
In paired experiments, participants are grouped into pairs with similar characteristics, and one observation from each pair is randomly assigned to treatment. The resulting treatment and control groups should be well-balanced; however, there may still be small chance imbalances. Building on work for completely randomized experiments, we propose a…
Descriptors: Experiments, Groups, Research Design, Statistical Analysis
Sales, Adam C.; Pane, John F. – Journal of Research on Educational Effectiveness, 2021
Randomized evaluations of educational technology produce log data as a bi-product: highly granular data on student and teacher usage. These datasets could shed light on causal mechanisms, effect heterogeneity, or optimal use. However, there are methodological challenges: implementation is not randomized and is only defined for the treatment group,…
Descriptors: Educational Technology, Use Studies, Randomized Controlled Trials, Mathematics Curriculum
Douglas, Daniel; Logue, Alexandra W.; Watanabe-Rose, Mari – Educational Researcher, 2023
Community colleges are essential for United States higher education, but their students have low retention and graduation rates. Community college students assigned to mathematics remediation are particularly unlikely to graduate. Corequisite remediation (college-level coursework with additional support) has shown short-term increased student…
Descriptors: Community Colleges, College Mathematics, Remedial Mathematics, Community College Students
Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
