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Renelle, Amy; Budgett, Stephanie; Jones, Rhys – Canadian Journal of Science, Mathematics and Technology Education, 2022
This paper examines coin-toss comparison questions from two recent studies involving undergraduate students and high school teachers and connects to findings from two prior studies in the literature. Considering possible sample spaces employed by participants, this is a reflection on whether one sequence could be more likely depending on the…
Descriptors: Undergraduate Students, High School Teachers, Probability, Statistics Education
Philipp Sterner; Kim De Roover; David Goretzko – Structural Equation Modeling: A Multidisciplinary Journal, 2025
When comparing relations and means of latent variables, it is important to establish measurement invariance (MI). Most methods to assess MI are based on confirmatory factor analysis (CFA). Recently, new methods have been developed based on exploratory factor analysis (EFA); most notably, as extensions of multi-group EFA, researchers introduced…
Descriptors: Error of Measurement, Measurement Techniques, Factor Analysis, Structural Equation Models
Emily Mather; Shane Lindsay – Infant and Child Development, 2025
There is widespread evidence that children display a mutual exclusivity response upon encountering new words. Children displaying this behaviour will select a novel, name-unknown object in response to a novel label, rather than a familiar, name-known object. The mutual exclusivity response has been viewed as a means of fast-mapping…
Descriptors: Children, Memory, Retention (Psychology), Vocabulary Development
Tong Wu; Stella Y. Kim; Carl Westine; Michelle Boyer – Journal of Educational Measurement, 2025
While significant attention has been given to test equating to ensure score comparability, limited research has explored equating methods for rater-mediated assessments, where human raters inherently introduce error. If not properly addressed, these errors can undermine score interchangeability and test validity. This study proposes an equating…
Descriptors: Item Response Theory, Evaluators, Error of Measurement, Test Validity
José Hernando Ávila-Toscano; Leonardo José Vargas-Delgado; Yurley Alejandra Badillo-Rueda – Statistics Education Research Journal, 2025
Functional models of anxiety based on dispositional variables have gained scientific acceptance. Their application to investigate constructs such as statistical anxiety can facilitate understanding and intervention. This study aimed to estimate whether dispositional variables such as worry and its negative consequences mediated the relationship…
Descriptors: Anxiety, College Students, Statistics, Universities
Hung-Yu Huang – Educational and Psychological Measurement, 2025
The use of discrete categorical formats to assess psychological traits has a long-standing tradition that is deeply embedded in item response theory models. The increasing prevalence and endorsement of computer- or web-based testing has led to greater focus on continuous response formats, which offer numerous advantages in both respondent…
Descriptors: Response Style (Tests), Psychological Characteristics, Item Response Theory, Test Reliability
Jule Scheper; Robin Leuppert; Daniel Possler; Anna Freytag; Sophie Bruns; Julia Niemann-Lenz – Journalism and Mass Communication Educator, 2025
Despite the increasing use of the statistical programming language R in statistics and data analysis (SDA), its implementation in communication science education is limited. Experiences, recommendations, and a critical exchange are therefore scarce. The following contribution addresses this very gap. At the Department of Journalism and…
Descriptors: Journalism Education, Programming Languages, Statistical Analysis, Data Analysis
Ryan J. McGill; Stefan C. Dombrowski; Gary L. Canivez – Psychology in the Schools, 2025
The present study examined the posited structure of the Wechsler Intelligence Scale for Children--Fifth Edition (WISC-V) ancillary index scores with normative sample participants aged 6-16 years (N = 2200) using a series of confirmatory factor analyzes (CFA) with maximum likelihood estimation. CFA results supported the retention of auditory…
Descriptors: Children, Intelligence Tests, Test Validity, Scores
Stephen Ferrigno; Samuel J. Cheyette; Susan Carey – Cognitive Science, 2025
Complex sequences are ubiquitous in human mental life, structuring representations within many different cognitive domains--natural language, music, mathematics, and logic, to name a few. However, the representational and computational machinery used to learn abstract grammars and process complex sequences is unknown. Here, we used an artificial…
Descriptors: Sequential Learning, Cognitive Processes, Knowledge Representation, Training
Yoosoon Chang; Steven N. Durlauf; Bo Hu; Joon Y. Park – Sociological Methods & Research, 2025
This article proposes a fully nonparametric model to investigate the dynamics of intergenerational income mobility for discrete outcomes. In our model, an individual's income class probabilities depend on parental income in a manner that accommodates nonlinearities and interactions among various individual and parental characteristics, including…
Descriptors: Nonparametric Statistics, Social Mobility, Parent Influence, Markov Processes
Aaron Wolf – Educational Theory, 2025
Much has been written about how to improve the fairness of AI tools for decision-making but less has been said about how to approach this new field from the perspective of philosophy of education. My goal in this paper is to bring together criteria from the general algorithmic fairness literature with prominent values of justice defended by…
Descriptors: Algorithms, Artificial Intelligence, Technology Uses in Education, Educational Philosophy
Yichun Miriam Liu; Eunice Kim; Greg M. Allenby – Marketing Education Review, 2025
We discuss our experience in teaching data analytics, and in particular prescriptive analytics, to students in business schools using an inter-coherent case study, where a managerial decision is decomposed into a series of research problems with interlocking analyses and the outcome of one analysis is the input of other analysis. Students who…
Descriptors: Business Schools, Computer Software, Marketing, Programming
Lorena S. Grundy; Milo D. Koretsky – Journal of Engineering Education, 2025
Background: Metacognitive processes have been linked to the development of conceptual knowledge in STEM courses, but previous work has centered on the regulatory aspects of metacognition. Purpose: We interrogated the relationship between epistemic metacognition and conceptual knowledge in engineering statics courses across six universities by…
Descriptors: Epistemology, Metacognition, Cognitive Processes, STEM Education
Dom Conroy; Bernard Aidoo; Raymon Hunte; Mark Thompson – Psychology Teaching Review, 2025
Statistics for psychology is a challenging aspect of undergraduate psychology courses but poorly understood in experiential terms. Accordingly, we drew on Brookfield's 'four lenses for critical reflection' to acquire insights from first year psychology undergraduate free text survey responses (learner lens), and psychology educator survey free…
Descriptors: Statistics Education, Mathematics Anxiety, Psychology, Undergraduate Students
Rick A. Hudson; Gemma F. Mojica; Hollylynne S. Lee; Stephanie Casey – Computers in the Schools, 2025
Innovative dynamic data tools afford opportunities for K-12 students and teachers to explore multivariate data and create linked data representations. These tools also support engagement in data moves, which are transnumerative actions to process, organize, and visualize data. The current study sought to understand how prospective K-12 mathematics…
Descriptors: Statistics Education, Visualization, Data Science, Preservice Teachers

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