Information matrix: expected vs. obse... PreviousNext
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 Anonymous posted on Wednesday, August 24, 2005 - 1:35 am
hi Prof. Muthen

I am running a two-level model using mplus.
Mplus allow users to use OBSERVED vs. EXPECTED to calculate information matrix in two-level modeling.

So what will you suggest when to use which?
which one is more robust?

any ref. about the calculation/formulae of these information matrices you can recommend? I couldn't find it from the tech. appendix.

Thanks a lot!!
 Linda K. Muthen posted on Wednesday, August 24, 2005 - 2:37 pm
We recommend observed with missing data and otherwise expected. These are the Mplus defaults. The other options are avaiable for studying the effects of using different information matrices.

See the Kenward and Molenberghs reference in the back of the Mplus User's Gudie.
 Janine Neuhaus posted on Friday, January 09, 2009 - 7:08 am
Dear Linda,

I ran a multilevel CFA twice, once a half year ago with version 3.1 and right now, with version 5.1.
I got different results, although the data were absolutely the same. I noticed that in the first case "expected" and in the second "observed" were denoted for calculation of the information matrix. Has the default setting changed from version 3 to 5?
As I do not have any missings (working with MI) I guess "expected" is in my case the correct setting, right?
Thank you very much for your help!
Janine
 Linda K. Muthen posted on Friday, January 09, 2009 - 7:15 am
The default in Version 3 was listwise deletion of the data with missing values. In Version 5, the default to to use all information. This is why the information matrices changed. If you want listwise deletion, add LISTWISE=ON; to the DATA command.
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