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Parallel analysis is regarded as one of the more accurate methods for determining the number of factors or components to retain. Since its original publication, multiple variations of parallel analysis have been proposed. Other methods of determining the number of factors or components to retain in
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Crawford, Aaron V.; Green, Samuel B.; Levy, Roy; Lo, Wen-Juo; Scott, Lietta; Svetina, Dubravka; Thompson, Marilyn S. (September 2010). "Evaluation of
Parallel Analysis Methods for Determining the Number of Factors".
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provided both theoretical and empirical evidence that parallel analysis's application might not be appropriate in many cases since its performance is influenced by
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Hayton, James C.; Allen, David G.; Scarpello, Vida (29 June 2016). "Factor
Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis".
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Glorfeld, Louis W. (2 July 2016). "An
Improvement on Horn's Parallel Analysis Methodology for Selecting the Correct Number of Factors to Retain".
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Tran, U. S.; Formann, A. K. (2009). "Performance of parallel analysis in retrieving unidimensionality in the presence of binary data".
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Zwick, William R.; Velicer, Wayne F. (1986). "Comparison of five rules for determining the number of components to retain".
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Velicer, W.F. (1976). "Determining the number of components from the matrix of partial correlations".
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Horn, John L. (June 1965). "A rationale and test for the number of factors in factor analysis".
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Exploratory factor analysis § Selecting the appropriate number of factors
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