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freek bucx posted on Friday, October 20, 2006  10:59 pm



Dear all, I have a question. I have tested a SEM model. Fit indices reveals that the chi square is quite high: 138.86, df=47, p <.00. Other fit measures, however, show an acceptable fit: RMSEA = 0.042; Standardized RMR = 0.025; AGFI = 0.95; CFI = 0.99. Can I accept this model, although the chi square is rather high (N = 1,050). Freek. 


One important piece of information is what the sample size is and the scale of the dependent variables. If the sample size is very large, you might be able to say that chisquare is too sensitive. You can do a sensitivity analysis by freeing parameters in the model until you get an acceptable chisquare. Then compare the parameters in your original model to the same parameters in the new model. If the values are close, then you might be able to claim that chisquare was senstive because of a large sample size. 

freek bucx posted on Monday, October 23, 2006  4:29 am



Thank you for your quick answer! Such a sensitivity analysis sounds like a good idea! Another question: have you good some reference to a book or article in which this use of the sensitivity analysis is explained further? Thanks a lot, Freek. 


I don't know of any reference. It is just based on experience and common sense. 

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