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Adam G. Gavarkovs; Rashmi A. Kusurkar; Kulamakan Kulasegaram; Ryan Brydges – Advances in Health Sciences Education, 2025
To design effective instruction, educators need to know "what" design strategies are generally effective and why these strategies work, based on the mechanisms through which they operate. Experimental comparison studies, which compare one instructional design against another, can generate much needed evidence in support of effective…
Descriptors: Instructional Design, Educational Research, Comparative Analysis, Mediation Theory
Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
Li Tan; Siqing Wei; Xingchen Xu; Jason Morphew – European Journal of Engineering Education, 2025
Despite the availability and potential usefulness of demographic and contextual data in many quantitative studies within engineering education, the preference for ANOVA over regression models remains prevalent, often without clear justification. A mapping review of literature from the EJEE and JEE spanning 2012-2022 identified 98 studies using…
Descriptors: Regression (Statistics), Statistical Analysis, Educational Benefits, Research Methodology
Charlotte Z. Mann; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2025
Combining observational and experimental data for causal inference can improve treatment effect estimation. However, many observational data sets cannot be released due to data privacy considerations, so one researcher may not have access to both experimental and observational data. Nonetheless, a small amount of risk of disclosing sensitive…
Descriptors: Causal Models, Statistical Analysis, Privacy, Risk
Chun-Wei Huang; Linlin Li; Mingyu Feng – Society for Research on Educational Effectiveness, 2025
Background: An efficacy study based on a randomized controlled trial (RCT) was designed to evaluate the impact of ASSISTments on math learning among middle school students, including those from high-needs rural schools. Despite extensive recruitment efforts in 2021 (during the pandemic), only a few schools and their teachers agreed to participate,…
Descriptors: Educational Technology, Feedback (Response), Formative Evaluation, Middle School Students
Chun-Wei Huang; Mingyu Feng; Linlin Li – WestEd, 2025
This is a technical report detailing the analytic methods used to assess the effects of a virtual professional learning community (vPLC)-enhanced ASSISTments intervention. The report uses a quasi-experimental design and partially nested regression model to account for clustering and reveals that while overall effects were positive but not…
Descriptors: Educational Technology, Feedback (Response), Formative Evaluation, Middle School Students

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