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luke fryer posted on Tuesday, September 07, 2010 - 11:52 pm
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Dr. Linda Muthen, I am a recent convert to the Mplus EFA method. Up until now I have used Parallel analysis and MAP to determine the # of factors. You suggest using fit statistics. My limited use suggests that more factors improves fit (limitlessly). How does one make the cut-off? How are the fit statistics interpreted? If there is an article that I have missed which explains this please point me in the right direction. thank you luke |
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The number of factors that can be extracted is limited by the number of factor indicators. Over factoring leads to negative residual variances and an inadmissible solution. See the Topic 1 course handout and video where determining the number of factors is discussed in detail. See also: Fabrigar, L.R., Wegener, D.T., MacCallum, R.C. & Strahan, E.J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272-299. |
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