### Abstract

Original language | English |
---|---|

Pages (from-to) | 45-50 |

Number of pages | 6 |

Journal | Structural Equation Modeling |

Volume | 11 |

DOIs | |

Publication status | Published - 2004 |

Externally published | Yes |

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**A cautionary note on the use of information fit indexes in covariance structure modeling with means.** / Wicherts, J.M.; Dolan, C.V.

Research output: Contribution to journal › Article › Scientific › peer-review

TY - JOUR

T1 - A cautionary note on the use of information fit indexes in covariance structure modeling with means

AU - Wicherts, J.M.

AU - Dolan, C.V.

PY - 2004

Y1 - 2004

N2 - Information fit indexes such as Akaike Information Criterion, Consistent Akaike Information Criterion, Bayesian Information Criterion, and the expected cross validation index can be valuable in assessing the relative fit of structural equation models that differ regarding restrictiveness. In cases in which models without mean restrictions (i.e., saturated mean structure) are compared to models with restricted (i.e., modeled) means, one should take account of the presence of means, even if the model is saturated with respect to the means. The failure to do this can result in an incorrect rank order of models in terms of the information fit indexes. We demonstrate this point by an analysis of measurement invariance in a multigroup confirmatory factor model.

AB - Information fit indexes such as Akaike Information Criterion, Consistent Akaike Information Criterion, Bayesian Information Criterion, and the expected cross validation index can be valuable in assessing the relative fit of structural equation models that differ regarding restrictiveness. In cases in which models without mean restrictions (i.e., saturated mean structure) are compared to models with restricted (i.e., modeled) means, one should take account of the presence of means, even if the model is saturated with respect to the means. The failure to do this can result in an incorrect rank order of models in terms of the information fit indexes. We demonstrate this point by an analysis of measurement invariance in a multigroup confirmatory factor model.

U2 - 10.1207/S15328007SEM1101_3

DO - 10.1207/S15328007SEM1101_3

M3 - Article

VL - 11

SP - 45

EP - 50

JO - Structural Equation Modeling

JF - Structural Equation Modeling

SN - 1070-5511

ER -