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Bo Zhang; Jing Luo; Susu Zhang; Tianjun Sun; Don C. Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Oblique bifactor models, where group factors are allowed to correlate with one another, are commonly used. However, the lack of research on the statistical properties of oblique bifactor models renders the statistical validity of empirical findings questionable. Therefore, the present study took the first step to examine the statistical properties…
Descriptors: Correlation, Predictor Variables, Monte Carlo Methods, Statistical Bias
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Timothy R. Konold; Elizabeth A. Sanders; Kelvin Afolabi – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Measurement invariance (MI) is an essential part of validity evidence concerned with ensuring that tests function similarly across groups, contexts, and time. Most evaluations of MI involve multigroup confirmatory factor analyses (MGCFA) that assume simple structure. However, recent research has shown that constraining non-target indicators to…
Descriptors: Evaluation Methods, Error of Measurement, Validity, Monte Carlo Methods
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James Ohisei Uanhoro – Structural Equation Modeling: A Multidisciplinary Journal, 2024
We present a method for Bayesian structural equation modeling of sample correlation matrices as correlation structures. The method transforms the sample correlation matrix to an unbounded vector using the matrix logarithm function. Bayesian inference about the unbounded vector is performed assuming a multivariate-normal likelihood, with a mean…
Descriptors: Bayesian Statistics, Structural Equation Models, Correlation, Monte Carlo Methods
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Linyuan Wang; Arjen de Vetten; Wilfried Admiraal; Roeland van der Rijst – Education and Information Technologies, 2025
In this study, we investigated the relationship between perceived learner control and student engagement in a blended course. Data were collected from 110 s-year bachelor students through weekly questionnaires to gather information about how they perceived their learner control and engagement in various study activities, including reading…
Descriptors: Undergraduate Students, Blended Learning, Teaching Methods, Student Empowerment
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Yuanfang Liu; Mark H. C. Lai; Ben Kelcey – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Measurement invariance holds when a latent construct is measured in the same way across different levels of background variables (continuous or categorical) while controlling for the true value of that construct. Using Monte Carlo simulation, this paper compares the multiple indicators, multiple causes (MIMIC) model and MIMIC-interaction to a…
Descriptors: Classification, Accuracy, Error of Measurement, Correlation
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Ke-Hai Yuan; Zhiyong Zhang – Grantee Submission, 2025
Most methods for structural equation modeling (SEM) focused on the analysis of covariance matrices. However, "Historically, interesting psychological theories have been phrased in terms of correlation coefficients." This might be because data in social and behavioral sciences typically do not have predefined metrics. While proper methods…
Descriptors: Correlation, Statistical Analysis, Models, Tests
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John Hattie; Timothy O'Leary – Educational Psychology Review, 2025
The persistence of learning styles as a concept in educational discourse and research is paradoxical, given the overwhelming evidence discrediting the matching hypothesis, the notion that aligning teaching methods with students' preferred learning styles enhances achievement. This paper examines the resurgence of learning styles across…
Descriptors: Cognitive Style, Meta Analysis, Learning Strategies, Correlation
Michelle Anne Rose – ProQuest LLC, 2024
The purpose of this pilot study was to investigate the relationship between North Carolina pre-service music teachers' perceived preparedness to teach online, Technological, Pedagogical, and Content Knowledge (TPACK) score, and online pedagogy instruction included in methods classes. An online survey was emailed to members of the North Carolina…
Descriptors: Preservice Teachers, Music Teachers, Readiness, Teacher Attitudes
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Tong-Rong Yang; Li-Jen Weng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In Savalei's (2011) simulation that evaluated the performance of polychoric correlation estimates in small samples, two methods for treating zero-frequency cells, adding 0.5 (ADD) and doing nothing (NONE), were compared. Savalei tentatively suggested using ADD for binary data and NONE for data with three or more categories. Yet, Savalei's…
Descriptors: Correlation, Statistical Distributions, Monte Carlo Methods, Sample Size
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Yan Xia; Xinchang Zhou – Educational and Psychological Measurement, 2025
Parallel analysis has been considered one of the most accurate methods for determining the number of factors in factor analysis. One major advantage of parallel analysis over traditional factor retention methods (e.g., Kaiser's rule) is that it addresses the sampling variability of eigenvalues obtained from the identity matrix, representing the…
Descriptors: Factor Analysis, Statistical Analysis, Evaluation Methods, Sampling
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Craig J. Cullen; Lawrence Ssebaggala; Amanda L. Cullen – Mathematics Teacher: Learning and Teaching PK-12, 2024
In this article, the authors share their favorite "Construct It!" activity, which focuses on rate of change and functions. The initial approach to instruction was procedural in nature and focused on making use of formulas. Specifically, after modeling how to find the slope of the line given two points and use it to solve for the…
Descriptors: Models, Mathematics Instruction, Teaching Methods, Generalization
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Marlen A. Roehe; Carmen Trost; Julia S. Grundnig; Anahit Anvari-Pirsch; Anita Holzinger – Educational Psychology Review, 2024
In recent decades, a noticeable trend has emerged in medical and dental schools to adjust their curricula to promote learning strategies and habits geared towards long-term knowledge retention. This systematic review therefore sought to examine whether different teaching methods influence students' preferred learning approaches (deep, strategic,…
Descriptors: Learning Modalities, Evaluation, Literature Reviews, Teaching Methods
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Thu Anh Nguyen; Thanh-Tan Le; Duc-Hoc Tran; Ruoyu Jin; Navpreet Chohan; Brian H. W. Guo – Journal of Civil Engineering Education, 2025
Building information modeling (BIM) is becoming more widely used in higher education due to changing industry demands. As a digital representation of a facility's characteristics, BIM promotes cost-effective facility planning, interdisciplinary collaboration, and sustainability initiatives. Additionally, it assists educational institutions in…
Descriptors: Architectural Education, Outcomes of Education, Learning Activities, Teaching Methods
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Mats Tegmark; Monika Vinterek; Tarja Alatalo; Mikael Winberg – Reading Research Quarterly, 2025
The purpose of this study is to develop understanding of the relation between instructional practices and students' reading amount. As part of a larger mixed-methods study of reading practices across the curriculum in Swedish compulsory school, a selection of 14 classes from Grades 6 and 9 were observed over a total of 59 lessons. The data…
Descriptors: Teaching Methods, Reading Attitudes, Foreign Countries, Grade 6
Christopher L. Hovorka – ProQuest LLC, 2024
The research presented explored the relationships between the purposeful use of humor by high school instructors and the development of immediacy, or relationships, with their students. This research compared the humor styles of high school instructors with the level of immediacy reported by their students via a quantitative study that utilizes…
Descriptors: Humor, High School Teachers, Teaching Methods, High School Students
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