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Direct linkSam Choo; Reagan Mergen; Jechun An; Haoran Li; Xuejing Liu; Martin Odima; Linda J. Gassaway – Grantee Submission, 2025
The importance of mathematical problem solving (MPS) has been widely recognized. While there has been significant progress in developing and studying interventions to support teaching and learning MPS for students with disabilities, the research on how to accurately and effectively assess the impact of those interventions has lagged, leaving a gap…
Descriptors: Mathematics Skills, Problem Solving, Student Evaluation, Evaluation Methods
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
Leigh McLean; Nathan Jones – Grantee Submission, 2025
Processes of classroom emotional transmission have been identified whereby the emotions expressed by an individual are induced in others, with particular attention paid to how this unfolds among teachers and their students. However, there is still much to be clarified about how teachers' and students' emotions transmit in the classroom, including…
Descriptors: Grade 4, Elementary School Teachers, Elementary School Students, Mathematics Instruction
Carly Oddleifson; Stephen Kilgus; David A. Klingbeil; Alexander D. Latham; Jessica S. Kim; Ishan N. Vengurlekar – Grantee Submission, 2025
The purpose of this study was to conduct a conceptual replication of Pendergast et al.'s (2018) study that examined the diagnostic accuracy of a nomogram procedure, also known as a naive Bayesian approach. The specific naive Bayesian approach combined academic and social-emotional and behavioral (SEB) screening data to predict student performance…
Descriptors: Bayesian Statistics, Accuracy, Social Emotional Learning, Diagnostic Tests
