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Is there a limit to the minimun sample size in running a EFA (and CFA)using MPLUS. i have a sample of 97 just concern if it will have a problem with statistical power of the outcome.If any 


It depends on the model. One way to determine this is to do a Monte Carlo simulation. See the following paper which is available on the website: 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. 

Reena posted on Wednesday, January 01, 2014  4:41 pm



Hello. I am having trouble trying to figure out the best way to analyze my data. I have a 16 item instrument with dichotomous indicators (the indicators are observations of whether or not a task was completed by a health provider). The scale was used to observe the actions of the same health provider with one to more than one patient. I have 162 observations. I had originally drawn out a latent factor model that has 7 subfactors that can be observed through an observation checklist. Because more missing data than I had hoped, it looks like I can only use 16 items in my analysis rather than 25. I had planned to start with CFA to test the factor model but now I think I won’t have an indicator for each of the subfactors so I’ll have to do EFA instead. I had also planned to do structural equation modeling to look at background characteristics of the health providers and their relationship to the factors I end up with but unfortunately because of the data quality issues, I will only be able to link the health provider characteristics with about 60 observations—which I realize will not be enough. I don’t know if my sample size is large enough even for EFA? Or maybe there’s something else I should be doing with this data? My original intention was to develop a scale (of less than 16 observable dichotomous items) to measure a latent variable. I’m trying to figure out the next best option. Thank you so much for any advice you can provide! 


You may want to ask this general analysis question on SEMNET. 

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