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Nataly Beribisky; Gregory R. Hancock – Educational and Psychological Measurement, 2024
Fit indices are descriptive measures that can help evaluate how well a confirmatory factor analysis (CFA) model fits a researcher's data. In multigroup models, before between-group comparisons are made, fit indices may be used to evaluate measurement invariance by assessing the degree to which multiple groups' data are consistent with increasingly…
Descriptors: Factor Analysis, Research Methodology, Comparative Testing, Measurement
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Chunhua Cao; Yan Wang; Eunsook Kim – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Multilevel factor mixture modeling (FMM) is a hybrid of multilevel confirmatory factor analysis (CFA) and multilevel latent class analysis (LCA). It allows researchers to examine population heterogeneity at the within level, between level, or both levels. This tutorial focuses on explicating the model specification of multilevel FMM that considers…
Descriptors: Hierarchical Linear Modeling, Factor Analysis, Nonparametric Statistics, Statistical Analysis
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Christine E. Pacewicz; Christopher R. Hill; Haeyong Chun; Nicholas D. Myers – Measurement in Physical Education and Exercise Science, 2024
Confirmatory factor analysis (CFA) is a commonly used statistical technique. Recommendations for evaluating CFA highlight scholars should outline the expected model, conduct data screening, report model estimation and evaluation, and report key information about results to provide evidence for latent variables. The purpose of the current study was…
Descriptors: Factor Analysis, Physical Education, Exercise, Kinesiology
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David Goretzko; Karik Siemund; Philipp Sterner – Educational and Psychological Measurement, 2024
Confirmatory factor analyses (CFA) are often used in psychological research when developing measurement models for psychological constructs. Evaluating CFA model fit can be quite challenging, as tests for exact model fit may focus on negligible deviances, while fit indices cannot be interpreted absolutely without specifying thresholds or cutoffs.…
Descriptors: Factor Analysis, Goodness of Fit, Psychological Studies, Measurement
Christopher Martin Amissah – ProQuest LLC, 2024
Measurement of latent constructs is one of the most challenging tasks in psychological research. Unlike physical variables, latent constructs are not directly observable but are inferred through individuals' responses to a set of items often referred to as measurement instruments, tests, surveys, or assessments. For decades, exploratory factor…
Descriptors: Models, Psychological Studies, Replication (Evaluation), Factor Analysis
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Peeraya Sukkeewan; Noawanit Songkram; Jaitip Nasongkhla – International Journal of Educational Methodology, 2024
The objective of this study was to develop a measure that possesses both reliability and validity in order to evaluate innovative thinking within the realm of education. To achieve this, the instrument's validity and reliability were evaluated through quantitative methods in two distinct phases. A team of educational experts conducted the process…
Descriptors: Likert Scales, Test Construction, Test Validity, Test Reliability
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Laura Hegemann; Ragna Bugge Askeland; Stian Barbo Valand; Anne-Siri Øyen; Synnve Schjølberg; Vanessa H. Bal; Somer L. Bishop; Camilla Stoltenberg; Tilmann von Soest; Laurie J. Hannigan; Alexandra Havdahl – Autism: The International Journal of Research and Practice, 2024
Autism screening questionnaires are sometimes used as a measure of "autism-associated traits" in samples drawn from the general population, even though such tools are primarily developed and designed for use in samples of children diagnosed with or being assessed for autism. Here, we explore the psychometric properties of the Social…
Descriptors: Autism Spectrum Disorders, Measurement, Clinical Diagnosis, Sex
Rod Ellis; Carsten Roever; Natsuko Shintani; Yan Zhu – Multilingual Matters, 2024
Taking a psycholinguistic perspective, this book investigates how second language (L2) learners' pragmatic abilities in English can be measured. It complements and extends earlier work on the testing of implicit and explicit grammar. The authors present a set of tests they developed using both well-established methods of measuring pragmatic…
Descriptors: Language Proficiency, English (Second Language), Second Language Learning, Second Language Instruction
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Hanwei Wu; Ziwen Pan – European Journal of Education, 2025
Recently, there has been a significant increase in research on Generative Artificial Intelligence (GenAI) in the domain of second language (L2) education. Given the limited resources, it is essential for GenAI research to focus on key areas. However, there is still uncertainty about which topics should be prioritised. Research priorities are often…
Descriptors: Q Methodology, Stakeholders, Artificial Intelligence, Technology Uses in Education