BIC vs. Sample Size Adjusted BIC PreviousNext
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 Elizabeth Follmer  posted on Sunday, August 12, 2012 - 3:40 pm
I am using the BIC to compare a mediated model with an interaction term to the same model without the interaction term. I am not sure if I should be comparing the BICs or the Sample Size Adjusted BICs. The BIC is lower without the interaction term, but the SSA BIC is lower with the interaction term.

Can you tell me when I should rely on the SSA BIC over the non-adjusted BIC? N = 342.

Thanks.
 Linda K. Muthen posted on Monday, August 13, 2012 - 9:08 am
I can't recommend one BIC over another. I would look at the significance of the interaction.
 Anna Austin posted on Monday, August 21, 2017 - 12:04 pm
Hello!



I am conducting LCA with 11 indicator variables, N=537 with data from a complex survey design. I have been reading a few articles (Nylund KL, Asparouhov T, MuthÚn BO, 2007; Tofighi D, Enders CK, 2008) regarding the optimal model selection criteria to use. In this case, it seems to me as though BIC or the sample size adjusted BIC would be most appropriate. However, do you have any thoughts on which (BIC vs. sample size adjusted BIC) should be given preference when the two criteria indicate a different optimal number of classes? Thank you!
 Bengt O. Muthen posted on Monday, August 21, 2017 - 4:52 pm
I would use BIC. There isn't a solid theoretical theory behind ssa BIC, although some simulation studies have found it to work well.
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