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Autor/inn/en | Arens, A. Katrin; Morin, Alexandre J. S. |
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Titel | Improved Representation of the Self-Perception Profile for Children through Bifactor Exploratory Structural Equation Modeling |
Quelle | In: American Educational Research Journal, 54 (2017) 1, S.59-87 (29 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0002-8312 |
DOI | 10.3102/0002831216666490 |
Schlagwörter | Self Concept; Structural Equation Models; Factor Analysis; Error of Measurement; Elementary School Students; Gender Differences; Psychometrics; Foreign Countries; Profiles; Children; Self Concept Measures; Hierarchical Linear Modeling; Age Differences; Maximum Likelihood Statistics; Goodness of Fit; Germany; Self Perception Profile for Children |
Abstract | This study illustrates an integrative psychometric framework to investigate two sources of construct-relevant multidimensionality in answers to the Self-Perception Profile for Children (SPPC). Using a sample of 2,353 German students attending Grades 3 to 6, we contrasted: (a) first-order versus hierarchical and bifactor models to investigate construct-relevant multidimensionality related to the hierarchical nature of multidimensional self-conceptions and (b) confirmatory factor analyses (CFA) and exploratory structural equation models (ESEM) to investigate construct-relevant multidimensionality related to the assessment of conceptually related constructs. The bifactor-ESEM solution provided the best fit, suggesting the presence of both sources of construct-relevant psychometric multidimensionality. The results supported measurement invariance of the SPPC across gender and grade level and showed latent mean differences mostly supporting results from previous research. (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |