Message/Author 


Hello, I have a sample with a strata (42 strata) and secu(sampling error computing unit) and want to do a simple linear regression. My question is how to account for both variables in the Mplus code? I am using the following but want to use both stratification and cluster vars for the type=complex. Can you provide help on this issue? I don't have a 2 level model per se and only see those types of examples in the 9th chapter. variable: names are sampleid str secu finalp2wt hhinc sexf age ; usevariables are str secu finalp2wt hhinc age; cluster is str ; weight=finalp2wt; missing are . ; analysis: type=complex ; model: hhinc on age ; 


You should specify the stratification variable using the STRATIFICATION option of the VARIABLE command and the CLUSTER variable using the CLUSTER option of the VARIABLE command. 


Thanks for the help. I did try this type of setup but could not get it to run properly. Could it be the version of Mplus? I am about to install v5 and might that be the issue? Pat 


This should work in Version 5. If not, please send your input, data, output, and license number to support@statmodel.com. 


Thanks, I will install v5 tomorrow and hope to be on my way then. If not, I will send to your support email. Thanks very much! Pat Berglund 


Hello, I have a few questions. 1. I am interested in performing a basic multiple regression model using complex survey data with strata, cluster, & weight. I would like in "state" so that strata & cluster would be nested in "state". Am I perceiving this correctly? If so, then it is actually a 3level model which can't be modeled in MPlus? If so, any suggestions? 2. I am interested in running a path model in which I have strata, cluster, & weight. I also want to include households. So this again appears to be 3levels? If so, can you treat the household members as repeated measures which Mplus may run? Thank you, Kathy 


Can you explain what in "state" means? 


Sorry for not beeing clear. State as in the actual state a person lives in. So the PSUs & strata are nested within the state. I want to bring in statelevel predictors 


Are all states included in the study or a sample of states? And if a sample, how many are sampled. 


All states are included in the studyI can run a regression model in SUDAAN which will "NEST" state, strata, and PSU. If I want to fit a path model, I can't do that in SUDAAN. From your manual, website, etc., I see that I can use the following... weight = sample_wts; strat = stratum; cluster= psu; Is it possible to add another level? Thank you. 

Back to top 