Abstract
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
Keywords
Goodness of fitStatisticsMultivariate statisticsMultivariate analysisMathematicsEconometricsPsychology
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Publication Info
- Year
- 1990
- Type
- article
- Volume
- 107
- Issue
- 2
- Pages
- 247-255
- Citations
- 1377
- Access
- Closed
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Cite This
Roderick P. McDonald,
Herbert W. Marsh
(1990).
Choosing a multivariate model: Noncentrality and goodness of fit..
Psychological Bulletin
, 107
(2)
, 247-255.
https://doi.org/10.1037/0033-2909.107.2.247
Identifiers
- DOI
- 10.1037/0033-2909.107.2.247