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| Comparing two growth models |
 
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| CC.J. T. posted on Friday, June 08, 2018 - 1:28 am
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I tested latent basis model and linear growth model in my data. Both showed a good model fit.
latent basis model, chi-square = 2.841 (p =.41), RMSEA=.000, CFI = 1.00, TLI = 1.00, SRMR = .038
linear growth model, chi-square = 6.094 (p =.297), RMSEA=.032, CFI = .979, TLI = .975, SRMR = .066.
I would like to know how to decide which one is better, using chi-square difference test? or BIC ? or BIC and AIC? Thank you very much. |
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| If the two models are nested, you can use a chi-square difference test. You can check if they are nested by using our new NESTED feature in Mplus Version 8.1. |
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| CC.J. T. posted on Monday, June 11, 2018 - 1:29 am
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| Thank you very much. I have not got Mplus 8 yet. But I am curious if they are nested models statistically. From your answer, it seems that sometimes they are but sometimes they are not. So how to decide ? Thanks |
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| It can be difficult to decide. No general rules are available. The new NESTED procedure is the way to go. You can read our paper on this - as well as the bentler-satorra paper it refers to - to understand nesting better. |
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