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Direct linkPhilipp 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
Marta Godoy-Giménez; Ángel García-Pérez; Fernando Cañadas; Angeles F. Estévez; Pablo Sayans-Jiménez – Autism: The International Journal of Research and Practice, 2024
The broad autism phenotype is the phenotypic expression of the primary characteristics of autism. However, currently available tests do not agree with the two-domain operationalization of broad autism phenotype or autism, and their internal structure has shown instability across applications. This study presents the Broad Autism…
Descriptors: Autism Spectrum Disorders, Genetics, Diagnostic Tests, Foreign Countries
Zhong Jian Chee; Anke M. Scheeren; Marieke de Vries – Autism: The International Journal of Research and Practice, 2024
Despite several psychometric advantages over the 50-item Autism Spectrum Quotient, an instrument used to measure autistic traits, the abridged AQ-28 and its cross-cultural validity have not been examined as extensively. Therefore, this study aimed to examine the factor structure and measurement invariance of the AQ-28 in 818 Dutch (M[subscript…
Descriptors: Autism Spectrum Disorders, Questionnaires, Factor Structure, Factor Analysis
