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Other methods of determining the number of factors or components to retain in an analysis include the [[scree plot]] or Kaiser rule.
[[Anton Formann]] provided both theoretical and empirical evidence that parallel analysis's application might not be appropriate in many cases since its performance is influenced by [[sample size]], [[Item response theory#The item response function|item discrimination]], and type of [[correlation coefficient]].<ref>{{cite journal | last1 = Tran | first1 = U. S. | last2 = Formann | first2 = A. K. | year = 2009 | title = Performance of parallel analysis in retrieving unidimensionality in the presence of binary data | url = | journal = Educational and Psychological Measurement | volume = 69 | issue = | pages = 50–61 | doi = 10.1177/0013164408318761 }}</ref>
==See also==
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