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 Scott C. Roesch posted on Tuesday, June 30, 2015 - 3:43 am
I have a large data set where employees (level-1) are clustered within agencies (level-2). A majority of the employees have worked in multiple agencies (i.e., employees are nested within more than 1 agency). Two questions...can MPlus handle a multiple membership model such as this. If not, is there a procedure in MPlus that would allow me to create a variable to sum the number of agencies that an employee works in so that I can treat this as a fixed effect. For example, if a participant has data that looks like the following:

agencyid employeeid
1 1
1 1
2 1
2 1

Because this employee worked in 2 agencies I would like to be able to create a variable that would return a value of 2, since this employee worked in 2 agencies. Thank you!
 Tihomir Asparouhov posted on Wednesday, July 01, 2015 - 6:19 pm
Consider using TYPE=CROSSCLASSIFIED; see for example User's Guide example 9.25 where the observations are nested within the two clustering variable: agencyid employeeid.

See also these slides
https://www.statmodel.com/download/handouts/Beijing2012-Day3.pdf
starting at page 110
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