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Choosing a multivariate model

Noncentrality and goodness of fit

Bibliographic Data

ID7983287
AuthorsRoderick P McDonald (Macquarie University), Herbert W Marsh (0000-0002-1078-9717)
Year1990
Volume107
Issue2
Pages247-255
Publication date1990-03-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePsychological Bulletin (JOURNAL)
Journal identifiersISSN: 0033-2909 • E-ISSN: 1939-1455
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037//0033-2909.107.2.247
OpenAlexW4251699571
LanguageEN
Citations received359
References cited17

It is suggested that Akaike's information criterion cannot be used for model selection in real applications and that there are problems attending the definition of parsimonious fit indices. A normed function of the noncentrality parameter is recommended as an unbiased absolute goodness-of-fit index, and the Tucker-Lewis index and a new unbiased counterpart of the Bentler-Bonett index are recommended for those investigators who might wish to evaluate fit relative to a null model

Econometrics · Goodness of fit · Multivariate analysis · Multivariate statistics · Statistics · Univariate · Advanced Statistical Methods and Models · Bayesian Modeling and Causal Inference · Forecasting Techniques and Applications · Mathematics · Psychology · Statistical Methods and Bayesian Inference

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Unique citing works335
Citations per year9,7
Citation span1989 - 2026 (38)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 300

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