

E/CFA with indicators having strong c... 

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I want to do an E/CFA on a large group of indicators that are scored 010 and have strong ceiling effects. Because modification indices are needed for E/CFA, I can't define the indicators as censored from above and base the analysis on tobit regression. The only two options I can think of are to (1) ignore the ceiling effect and define the indicators as continuous; or (2) reduce the number of response categories to 10 or fewer (perhaps collapsing responses 0 and 1 into a single category) and define the indicators as ordered categorical. Which, if either, of these two options would you recommend? Are there other options I have overlooked that would be preferable? Thanks! 


You get modindices with censored variables using the WLSMV estimator. You can also reduce the number of categories, collapsing some, and treat the variables as ordered categorical. A more advanced approach if you really care about the ceiling effect part of the variable is 2part FA. 

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