Miles, Jeremy and Shevlin, Mark (2007) A time and a place for incremental fit indices. PERSONALITY AND INDIVIDUAL DIFFERENCES, 42 (5). pp. 869-874. [Journal article]
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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.
|Item Type:||Journal article|
|Faculties and Schools:||Faculty of Life and Health Sciences|
Faculty of Life and Health Sciences > School of Psychology
|Research Institutes and Groups:||Psychology Research Institute|
Psychology Research Institute > Health and Wellbeing
|Deposited By:||Mrs Fiona Harkin|
|Deposited On:||14 Dec 2009 14:55|
|Last Modified:||12 Mar 2012 16:44|
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