Power analysis for CFA of large scale PreviousNext
Mplus Discussion > Confirmatory Factor Analysis >
 Mike C Parent posted on Friday, March 21, 2008 - 10:49 pm
Hi all (first time posting here!),

A reviewer for a paper I wrote suggested that I conduct a power analysis in accordance with the MacCallum, Browne, and Sugawara paper for a CFA I did. The trouble is, the scale is pretty large. My understanding of SEM/CFA power analysis (based on my reading of MacCallum et al and a test using Preacher's online sem power calculator) is that with really high df I'll hit perfect power even with a tiny sample. My scale has almost df = 1000. Am I missing something, or would power analysis not be useful for my CFA?

 Bengt O. Muthen posted on Saturday, March 22, 2008 - 5:33 pm
I assume when you say your scale is large that you mean that you have many observed factor indicators and when you say your scale has df = 1000 this is the df for your H0 model. If I remember correctly the paper you refer to considers the overall power to reject the model if it is incorrect - you may ask yourself if is that what you are interested in. I can imagine that with a highly restricted model (with high df) you would have an easy time to reject the model due to small deviations. Or, are you interested in the power to reject that a certain parameter is zero? If I am not understanding you, please send the paper you refer to.
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