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Confirmatory Analysis of Exploratively Obtained Factor Structures

Bibliographic Data

ID20282948
AuthorsJan-Willem Van Prooijen (0000-0001-6236-0819, Leiden University, corresponding author), Willem A van der Kloot (Leiden University)
Year2001
Volume61
Issue5
Pages777-792
Publication date2001-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/00131640121971518
OpenAlexW2144226795
LanguageEN
Citations received69
References cited37

Factor structures obtained by exploratory factor analysis (EFA) often turn out to fit poorly in confirmative follow-up studies. In the present study, the authors assessed the extent to which results obtained in EFA studies can be replicated by confirmatory factor analysis (CFA) in the same sample. More specifically, the authors used CFA to test three different factor models on several correlation matrices of exploratively obtained factor structures that were reported in the literature. The factor models varied with respect to the role of the smaller factor pattern coefficients. Results showed that confirmatory factor models in which all low EFA pattern coefficients were fixed to zero fitted especially poorly. The authors conclude that it may be justified to use a less constrained model when testing a factor model by allowing some correlation among the factors and some of the lower factor pattern coefficients to differ from zero

Confirmatory factor analysis · Exploratory factor analysis · Factor (programming language) · Factor analysis · Psychometrics · Statistics · Structural equation modeling · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Psychology · Psychometric Methodologies and Testing

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Unique citing works69
Citations per year3,14
Citation span2004 - 2026 (23)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 59

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