A time and a place for incremental fit indices

Jeremy Miles; Mark Shevlin

doi:10.1016/j.paid.2006.09.022

A time and a place for incremental fit indices

Jeremy Miles, Mark Shevlin

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

238 Citations (Scopus)

Abstract

It is well established that the chi(2) test is influenced by sample size and will lead to over rejection of models tested using large sample sizes. In this paper it is shown that the population parameter values of a model can also influence the chi(2) and lead to erroneous decisions about model acceptance/rejection. It is concluded, based on the examination of hypothetical population factor analytic models, that incremental fit indices offer a useful source of information for the analyst to assist in the interpretation of the chi(2) test. (c) 2006 Elsevier Ltd. All rights reserved.

Original language	English
Pages (from-to)	869-874
Journal	Personality and Individual Differences
Volume	42
Issue number	5
DOIs	https://doi.org/10.1016/j.paid.2006.09.022
Publication status	Published (in print/issue) - May 2007

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title = "A time and a place for incremental fit indices",

abstract = "It is well established that the chi(2) test is influenced by sample size and will lead to over rejection of models tested using large sample sizes. In this paper it is shown that the population parameter values of a model can also influence the chi(2) and lead to erroneous decisions about model acceptance/rejection. It is concluded, based on the examination of hypothetical population factor analytic models, that incremental fit indices offer a useful source of information for the analyst to assist in the interpretation of the chi(2) test. (c) 2006 Elsevier Ltd. All rights reserved.",

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AB - It is well established that the chi(2) test is influenced by sample size and will lead to over rejection of models tested using large sample sizes. In this paper it is shown that the population parameter values of a model can also influence the chi(2) and lead to erroneous decisions about model acceptance/rejection. It is concluded, based on the examination of hypothetical population factor analytic models, that incremental fit indices offer a useful source of information for the analyst to assist in the interpretation of the chi(2) test. (c) 2006 Elsevier Ltd. All rights reserved.

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DO - 10.1016/j.paid.2006.09.022

M3 - Article

VL - 42

SP - 869

EP - 874

JO - Personality and Individual Differences

JF - Personality and Individual Differences

IS - 5

ER -

A time and a place for incremental fit indices

Abstract

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