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 Alison Riddle posted on Monday, March 31, 2008 - 7:26 am
Hi Bengt,

I read your article "MLM of Complex Survey Data" and I am trying to get a handle on how it applies to my data. Briefly, here is the sampling strategy that was used:

"In Botswana, Lesotho, Swaziland, Malawi, Mozambique, Namibia, Zambia and
Zimbabwe we stratified the most recent available census into rural, urban (not within the capital region), and urban capital sites. In each country, we drew a last stage random selection of enumeration areas, with probability proportional to the national population (Table 1). Interviewers tried to cover
all households in each enumeration area, without sub-sampling. In each household, they interviewed all adults aged 16-60 years present at the time of the visit."

It is my understanding that I have 3 levels - enumeration areas, households, and individuals. I have weights for country and EA type and a stratification variable for EA type. How would you recommend that I model this in Mplus? Can I use MLM as opposed to TYPE=COMPLEX, or would it be a combination? Also, can I use IMPUTATION with TYPE=TWO LEVEL?

Thanks for your assistance, as always.

 Linda K. Muthen posted on Monday, March 31, 2008 - 10:28 am
I would suggest TYPE=COMPLEX TWOLEVEL; with
CLUSTERS=enumeration household; STRATIFICTION= rural/urban/urbancap;
WEIGHT= product of two weight variables;

 Alison Riddle posted on Monday, March 31, 2008 - 10:32 am
Thanks so much, Linda.
 Alison Riddle posted on Wednesday, April 02, 2008 - 9:30 am
Drs Muthen,

I just wanted to follow up on your previous recommendation. Do I understand correctly that the method you are suggesting is a combination of multilevel modelling and an adjusted chi-square approach? If so, is there a particular reason you have adopted this approach versus a 3 level model (or is it simply because Mplus cannot yet perform an analysis with more than 2 levels)?

Also, can I use TYPE=TWOLEVEL for an EFA?

 Linda K. Muthen posted on Wednesday, April 02, 2008 - 9:35 am
Yes, see the description in the introduction to Chapter 9. Mplus currently cannot do three levels with cross-sectional data only with repeated measures. This is another approach that can be considered because often the highest level does not have enough variability to model.
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