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 cricket posted on Monday, May 24, 2004 - 2:59 pm
When I run mixture models with all available data (e.g., type=mixture missing;), I get a likelihood ratio chi-square test for MCAR. However, I don't get that test when running ordinary LGM with (type = meanstructure missing h1). Is there any way to get that same test?
 bmuthen posted on Monday, May 24, 2004 - 3:57 pm
You only get this test with categorical outcomes.
 cricket posted on Monday, May 24, 2004 - 4:07 pm
I ran an LGM with my categorical outcome with the same instructions as above (i.e., analysis: meanstructure missing h1;), and I still didn't get the test.
 Linda K. Muthen posted on Monday, May 24, 2004 - 4:21 pm
I should have said you only get this test with categorical outcomes and TYPE=MIXTURE not with an ordinary non-mixture growth model. You could use TYPE=MIXTURE and CLASSES = c (1); if you really want it.
 cricket posted on Monday, May 24, 2004 - 4:26 pm
Thanks
 Charles Green posted on Monday, April 30, 2007 - 3:15 pm
Is there information on the way that MPlus calculates its chi-square test of MCAR. I have looked through the manual and technical appendices, perhaps I have missed it.
 Linda K. Muthen posted on Monday, April 30, 2007 - 3:21 pm
See Technical Appendix 6 formula 133.
 Jon Elhai posted on Sunday, June 15, 2008 - 3:12 pm
Drs. Muthen,

What is the command syntax for obtaining Little's MCAR test when using type=mixture?
 Linda K. Muthen posted on Monday, June 16, 2008 - 3:23 pm
This is available only for categorical outcomes and is given automatically in this case.
 Tracy Witte posted on Wednesday, November 12, 2008 - 5:37 pm
For the chi-square test for MCAR, I get a value of 111.37, df = 222, p = 1.0000 for the pearson & 85.65, df = 222, & p = 1.0000 for the likelihood ratio.

Does this mean that MCAR does hold? Or do the p values of 1 mean that this test is uninterpretable?
 Bengt O. Muthen posted on Wednesday, November 12, 2008 - 6:43 pm
The discrepancy between the 2 chi-2's probably indicate that neither is trustworthy due to many zero cells.
 Tracy Witte posted on Wednesday, November 12, 2008 - 7:42 pm
So should I just assume MAR to be safe?
 Bengt O. Muthen posted on Wednesday, November 12, 2008 - 10:13 pm
Yes.
 Aleksandra posted on Tuesday, December 09, 2008 - 2:34 am
Dr. Muthien,
what is the cost of specifying the data as MAR when the data are actually MCAR?

Thank you very much.

Alex
 Linda K. Muthen posted on Tuesday, December 09, 2008 - 2:30 pm
There is no cost. When MCAR holds, MAR holds.
 Wen-Hsu Lin posted on Monday, October 20, 2014 - 1:38 am
Thank you. One additional question of setting up the imputation is that only integer is allowed. So, should I set rounding = 0;?

Thanks a lot.
 Linda K. Muthen posted on Monday, October 20, 2014 - 3:48 pm
If you want no decimals, specify ROUNDING=0;
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