

Inquiry about number of observations 

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HuiGuo Liu posted on Wednesday, April 15, 2009  12:40 pm



I remember that I have read somewhere about the number of observations needed to do CFA/EFA for categorical data. It sounds like that as long as any number of observations of the 2 by 2 matrix generated by any two of the items/variables is larger than 5, categorical CFA/EFA is suitable. And in that statement, there is also an exmple following to show that even sometimes the whole number of observations is not very large, categorical EFA/CFA could be performed since the required condition is not demanding at all. I cannot remember where I have read that and whether this is a correct statement. Does anyone get any idea about this? 


In general, you need more observations for categorical data than for continuous data. The only way to know how large a sample is needed in any particular situation is to do a Monte Carlo study. See the following reference: Muthén, L.K. & Muthén, B.O. (2002). How to use a Monte Carlo study to decide on sample size and determine power. Structural Equation Modeling, 4, 599620. 

HuiGuo Liu posted on Tuesday, April 21, 2009  8:55 pm



Thanks a lot of the response. I saw the paper at a quick glance,and found that the CFA examples it used were all with continuous outcomes. But my own research is with 20 ordered variables. I just wonder are the test method and conclusion from the examples also applicable to my own research? Many thanks. 


You can do the same thing with ordered categorical variables. 

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