Confirmatory Factor Analysis (CFA) with continuous and categorical variables in R

Saran · 2019-09-22T09:19:45.885Z

Hi,

I am trying to perform Confirmatory Factor Analysis with mixed variables ( 6 continuous and 6 categorical variables). Several online source suggest that Mplus is a suitable software for CFA analysis that involves mixed variables. However, I would like to use R, but I am not sure whether it can handle mixed variables well. I am new to R, so please advise.

Thank you,

Jo

pieterjanvc · 2019-09-23T12:30:41.306Z

Hi,

It seems the lavaan package will be able to implement CFA for you. I found a great tutorial online:
http://www.understandingdata.net/2017/03/22/cfa-in-lavaan/#model

It also explains how to use categorical variables with the lavTables() function

Hope this helps,
PJ

Saran · 2019-09-30T10:45:59.628Z

Thank you very much PJ.

Can lavaan handle dichotomous items along with continuous items in the same model?

pieterjanvc · 2019-09-30T11:05:54.431Z

Hi,

I have not used this package before and am not very familiar with this type of analysis, but it seems this method/package should allow it... Best to just experiment with it and see.

Hope you get it to work
PJ

system · 2019-10-07T11:05:57.237Z

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