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Su, Hsu-Lin; Chen, Po-Hsi – Educational and Psychological Measurement, 2023
The multidimensional mixture data structure exists in many test (or inventory) conditions. Heterogeneity also relatively exists in populations. Still, some researchers are interested in deciding to which subpopulation a participant belongs according to the participant's factor pattern. Thus, in this study, we proposed three analysis procedures…
Descriptors: Data Analysis, Correlation, Classification, Factor Structure
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Kajal Mahawar; Punam Rattan – Education and Information Technologies, 2025
Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…
Descriptors: Electronic Learning, Artificial Intelligence, Academic Achievement, Prediction
Ashley A. Edwards; Wilhelmina van Dijk; Christine M. White; Christopher Schatschneider – Grantee Submission, 2022
Given the recent push for universal screening, it is important to take into account how well a screener identifies children at risk for reading problems as well as how screener and sample information contribute to this classification. Picking the best cut-point for a particular sample and screening goal can be challenging given that test manuals…
Descriptors: Screening Tests, Measures (Individuals), Reading Difficulties, Cutting Scores
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Ashley A. Edwards; Wilhelmina van Dijk; Christine M. White; Christopher Schatschneider – Annals of Dyslexia, 2022
Given the recent push for universal screening, it is important to take into account how well a screener identifies children at risk for reading problems as well as how screener and sample information contribute to this classification. Picking the best cut-point for a particular sample and screening goal can be challenging given that test manuals…
Descriptors: Screening Tests, Measures (Individuals), Reading Difficulties, Cutting Scores
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Mehmet Can Demir; Kübra Atalay-Kabasakal; Murat Dogan Sahin – Turkish Journal of Education, 2024
Previous researchers have identified socioeconomic status as a significant predictor of achievement/literacy. However, it is important to recognize that the influence of socioeconomic status on literacy may vary at different levels of socioeconomic status. Thus, this study analyzes the relationship between socioeconomic status and literacy scores…
Descriptors: Socioeconomic Status, Scores, Correlation, Classification
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Francesco Innocenti; Math J. J. M. Candel; Frans E. S. Tan; Gerard J. P. van Breukelen – Journal of Educational and Behavioral Statistics, 2024
Normative studies are needed to obtain norms for comparing individuals with the reference population on relevant clinical or educational measures. Norms can be obtained in an efficient way by regressing the test score on relevant predictors, such as age and sex. When several measures are normed with the same sample, a multivariate regression-based…
Descriptors: Sample Size, Multivariate Analysis, Error of Measurement, Regression (Statistics)
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Van Camp, Carole M.; Batchelder, Sydney R.; Irwin Helvey, Casey – Journal of Applied Behavior Analysis, 2022
Children should engage in 1 hr/day of moderate-to-vigorous physical activity (MVPA) that results in increased heart rates (HRs) (CDC, 2022). However, precise individualized HR criteria for MVPA are not provided, and it is unclear whether observed behaviors classified as MVPA are associated with elevated HRs indicative of MVPA. The current study…
Descriptors: Metabolism, Physical Activity Level, Identification, Classification
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Peel, Hayden J.; Royals, Kayla A.; Chouinard, Philippe A. – Journal of Psycholinguistic Research, 2022
It is widely assumed that subliminal word priming is case insensitive and that a short SOA (< 100 ms) is required to observe any effects. Here we attempted to replicate results from an influential study with the inclusion of a longer SOA to re-examine these assumptions. Participants performed a semantic categorisation task on visible word…
Descriptors: Priming, Psycholinguistics, Reaction Time, Semantics
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George Kinnear – Research in Mathematics Education, 2024
Prompting learners to generate examples has been proposed as an effective way of developing understanding of a new concept. However, empirical support for this approach is lacking. This article presents two empirical studies on the use of example-generation tasks in an online course in introductory university mathematics. The first study compares…
Descriptors: Comparative Analysis, Classification, Task Analysis, Mathematics Instruction
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Adam, Hamdi S.; Merkin, Sharon Stein; Anderson, Madison D.; Seeman, Teresa; Kershaw, Kiarri N.; Magnani, Jared W.; Everson-Rose, Susan A.; Lutsey, Pamela L. – American Journal of Health Education, 2023
Background: Personal Health literacy (PHL) is essential in cardiovascular risk management. Hindrances in PHL can lead to poor cardiovascular outcomes. Purpose: To investigate whether limited PHL is associated with lower likelihoods of i) overall cardiovascular health and ii) individual cardiovascular health components as defined by the American…
Descriptors: Health, Literacy, Heart Disorders, Risk
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Jehanzeb Rashid Cheema – Journal of Education in Muslim Societies, 2024
This study explores the relationship between the Spiral Dynamics and the 3H (head, heart, hands) models of human growth and development, using constructs such as empathy, moral reasoning, forgiveness, and community mindedness that have been shown to have implications for education. The specific research question is, "Can a combination of…
Descriptors: Correlation, Factor Analysis, Computer Software, Moral Values
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Marks, Peter E. L.; Babcock, Ben; van den Berg, Yvonne H. M.; Gommans, Rob; Cillessen, Antonius H. N. – Journal of Early Adolescence, 2022
The goal of this study was to advance the conceptualization and measurement of adolescent popularity by exploring the commonly used composite score (popularity minus unpopularity). We used standardized peer nominations from 4,414 early adolescents (ages [approximately equal to] 12-14 years) from three samples collected in two countries. Popularity…
Descriptors: Early Adolescents, Peer Acceptance, Measurement Techniques, Middle School Students
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Dubova, Marina; Goldstone, Robert L. – Cognitive Science, 2021
We explore different ways in which the human visual system can adapt for perceiving and categorizing the environment. There are various accounts of supervised (categorical) and unsupervised perceptual learning, and different perspectives on the functional relationship between perception and categorization. We suggest that common experimental…
Descriptors: Visual Perception, Perceptual Development, Correlation, Classification
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Smithson, Conor J. R.; Eichbaum, Quentin G.; Gauthier, Isabel – Cognitive Research: Principles and Implications, 2023
We investigated the relationship between category learning and domain-general object recognition ability (o). We assessed this relationship in a radiological context, using a category learning test in which participants judged whether white blood cells were cancerous. In study 1, Bayesian evidence negated a relationship between o and category…
Descriptors: Recognition (Psychology), Classification, Learning Processes, Medicine
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Fuji, Shohei; Sugimura, Shinichiro – European Journal of Developmental Psychology, 2023
Studies have found a relationship between pretend play and self-regulation both during and outside pretend play; however, very few have investigated these three variables simultaneously. Therefore, this study examined the relationship between the frequency of role-play (a type of pretend play), self-regulatory behaviour during role-play, and…
Descriptors: Role Playing, Metacognition, Imagination, Play
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