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Marcusson-Clavertz, David; Persson, Stefan D.; Cardeña, Etzel; Terhune, Devin B.; Gort, Cassandra; Kuehner, Christine – Cognitive Research: Principles and Implications, 2022
Accumulating evidence suggests that individuals with greater executive resources spend less time mind wandering. Independent strands of research further suggest that this association depends on concentration and a guilty-dysphoric daydreaming style. However, it remains unclear whether this association is specific to particular features of…
Descriptors: Executive Function, Attention Control, Factor Analysis, Cognitive Processes
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
Behçet Oral; Nese Dokumaci-Sütçü – Journal of Theoretical Educational Science, 2025
The aim of this study is to develop a valid and reliable scale to measure the time traps teachers fall into during the teaching-learning process. The sample consists of 234 final-year students continuing their education at the Faculty of Education in the first implementation and 233 pedagogical formation students in the second implementation.…
Descriptors: Test Construction, Time Management, Test Validity, Test Reliability
Zakyeh Akrami; Vahid Amani; Jamal Bavardi – Journal of Science Education and Technology, 2025
Mobile learning (M-Learning) allows chemistry students to access educational resources anytime, anywhere, aiding in problem-solving and critical thinking skills. However, it is necessary to identify the components and objectives of M-Learning that have specific usage in chemistry education. Despite the global focus on e-learning, there is…
Descriptors: Electronic Learning, Science Education, Chemistry, Educational Objectives
Sergio Dominguez-Lara; Mario A. Trógolo; Rodrigo Moreta-Herrera; Diego Vaca-Quintana; Manuel Fernández-Arata; Ana Paredes-Proaño – Journal of Psychoeducational Assessment, 2025
Academic engagement plays a crucial role in students' learning and performance. One of the most popular measures for assessing this construct is the Utrecht Work Engagement Scale for Students (UWES-S), which is based on a tridimensional conceptualization consisting of dedication, vigor, and absorption. However, prior research on its factor…
Descriptors: Learner Engagement, College Students, Foreign Countries, Factor Analysis
Michael D. Wray; Matthew R. Reynolds – Journal of Psychoeducational Assessment, 2025
The KeyMath-3 Diagnostic Assessment (KM-3) is an individually-administered math assessment used in educational placement and diagnostic decisions. It includes 10 subtests making up Basic Concepts, Operations, and Applications indexes and a "Total Test" composite that measures overall math ability. Here, covariances among subtests from…
Descriptors: Diagnostic Tests, Mathematics Tests, Arithmetic, Factor Analysis
Madeleine Bruce; Tatiana Meza-Cervera; Briana Ermanni; Martha Ann Bell – Child Development, 2025
This study investigated the associations between infant frontal EEG power (5 month), infant visual attention (10 month), and toddler executive functioning (EF; 24 month), extending previous research predominantly conducted with school-aged children. Data were collected from 410 typically developing children (51% female; 78% White, non-Hispanic)…
Descriptors: Infants, Brain, Cognitive Processes, Predictor Variables
Yi Wang; E. Michael Bohlig; Sandra L. Dika – New Directions for Community Colleges, 2025
Using data from the 2019 Community College Survey of Student Engagement (CCSSE) 3-year cohort, this article presents a validation study of the 2017 version of CCSSE. Exploratory and confirmatory factor analyses were implemented to investigate the psychometric properties and construct validity with strategies to address missing data. Eight…
Descriptors: Learner Engagement, Community Colleges, Community College Students, Construct Validity
Tenko Raykov; Christine DiStefano; Lisa Calvocoressi – Educational and Psychological Measurement, 2024
This note demonstrates that the widely used Bayesian Information Criterion (BIC) need not be generally viewed as a routinely dependable index for model selection when the bifactor and second-order factor models are examined as rival means for data description and explanation. To this end, we use an empirically relevant setting with…
Descriptors: Bayesian Statistics, Models, Decision Making, Comparative Analysis
André Beauducel; Norbert Hilger; Tobias Kuhl – Educational and Psychological Measurement, 2024
Regression factor score predictors have the maximum factor score determinacy, that is, the maximum correlation with the corresponding factor, but they do not have the same inter-correlations as the factors. As it might be useful to compute factor score predictors that have the same inter-correlations as the factors, correlation-preserving factor…
Descriptors: Scores, Factor Analysis, Correlation, Predictor Variables
Lawrence Scahill; Luc Lecavalier; Michael C. Edwards; Megan L. Wenzell; Leah M. Barto; Arielle Mulligan; Auscia T. Williams; Opal Ousley; Cynthia B. Sinha; Christopher A. Taylor; Soo Youn Kim; Laura M. Johnson; Scott E. Gillespie; Cynthia R. Johnson – Autism: The International Journal of Research and Practice, 2024
This report presents a new parent-rated outcome measure of insomnia for children with autism spectrum disorder. Parents of 1185 children with autism spectrum disorder (aged 3-12; 80.3% male) completed the first draft of the measure online. Factor and item response theory analyses reduced the set of 40 items to the final 21-item Pediatric Insomnia…
Descriptors: Autism Spectrum Disorders, Children, Sleep, Test Construction
Jesus M. Pichardo; Megan Foley-Nicpon; Danae Fields; Jung Eui Hong; Court – Journal of Autism and Developmental Disorders, 2024
Currently, there are no existing measures to screen for or diagnose Social (Pragmatic) Communication Disorder (SPCD). We conducted an exploratory factor analysis (EFA) of the Social Communication Disorder Screener (SCDS), a 14-item, parent-report measure based on the DSM-5 diagnostic criteria for SPCD. This EFA examined the internal consistency…
Descriptors: Communication Disorders, Screening Tests, Factor Analysis, Parents
Jochen Ranger; Christoph König; Benjamin W. Domingue; Jörg-Tobias Kuhn; Andreas Frey – Journal of Educational and Behavioral Statistics, 2024
In the existing multidimensional extensions of the log-normal response time (LNRT) model, the log response times are decomposed into a linear combination of several latent traits. These models are fully compensatory as low levels on traits can be counterbalanced by high levels on other traits. We propose an alternative multidimensional extension…
Descriptors: Models, Statistical Distributions, Item Response Theory, Response Rates (Questionnaires)
Sena Dogruyol; Bilge Bakir Aygar; Nezaket Bilge Uzun; Asena Yucedaglar – Journal on Educational Psychology, 2024
The Satisfaction with Life Scale (SWLS), a popular and widely used measurement tool in cross-cultural research, evaluates life satisfaction. Even though numerous studies have demonstrated factorial validity across a range of samples and cultures, the topic of factorial invariance across various subgroups is still up for debate. There are…
Descriptors: Measures (Individuals), Life Satisfaction, Factor Structure, Models
Chunhua Cao; Xinya Liang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Cross-loadings are common in multiple-factor confirmatory factor analysis (CFA) but often ignored in measurement invariance testing. This study examined the impact of ignoring cross-loadings on the sensitivity of fit measures (CFI, RMSEA, SRMR, SRMRu, AIC, BIC, SaBIC, LRT) to measurement noninvariance. The manipulated design factors included the…
Descriptors: Goodness of Fit, Error of Measurement, Sample Size, Factor Analysis

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