Rules Comm posted on Saturday, July 02, 2011 - 11:02 am
I am coping with outliers in CFA. There are 7 outliers in a 400 cases dataset. I do not want to delete them because they are meaningful. Could you suggest any way that I can deal with them? I have tried to search in this web and other webs. But I did not find anything related to CFA and outliers. Thanks.
I just wanted to check if it is still appropriate to use Cook's distances to check for outliers in a CFA model with categorical (ordinal) indicators - is the interpretation of Cook's distances the same in this context? Thanks
Thanks for your help. Just to clarify then, would loglikelihood outliers still be interpretable with WLSMV estimation (as ordinal data)? Also, I am less familiar with loglikelihood outliers, are there any rules of thumb about what constitutes an outlier, or is it more a case of looking for points that are far out from the tail of the distribution? Many thanks
In that case is there a way of identifying outliers in a CFA with ordinal indicators and WLSMV estimation? Or is it a case of estimating the model with ML (and tresting the indicators as continuous)? Thanks