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Hi, I'm doing a ML EFA and I can't find the KMO statistic in my output, or the command to request it in the manual. Is there a way to get the KMO in my output? Thank you. |
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What is the KMO statistic? |
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The Kaiser-Meyer-Oklin statistic for sampling adequacy. It's output by SPSS EFA and interpretation is suggested by some of my resources for determining how "good" your sample size is relative to your number of items (and some other factors, I think). Is it not implemented in mplus? Would you suggest that monte carlo simulations in mplus are better anyway? |
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It is not implemented in Mplus. I would not know if Monte Carlo simulations are better but this is what is available in Mplus. |
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Dodam Park posted on Saturday, April 01, 2017 - 4:52 am
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Hi! I am going to use Mplus for CFA. I am not sure if I should check Kaiser-Meyer-Oklin statistic or Bartlett’s test of sphericity to see if my data is adequate for factor analysis. If these estimates can't be implemented, what kind of an alternative can I use instead in Mplus? |
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Just use Estimator = MLR. There is no need for that testing. |
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Dear teacher I want to use the Kaiser-Meyer-Oklin statistic and the Bartlett sphericity test to see if my categorical (dichotomous) data is adequate for factor analysis. If these estimates cannot be implemented, what kind of alternative can I use in Mplus for dichotomous - categorical data? |
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Aren't those tests for continuous outcomes? I don't think many people use these anymore in the factor analysis context. I never do. You may want to ask on SEMNET. |
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