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Determining The Number Of Factors In Data Containing A Single Outlier: A Study Of Factor Analysis Of Simulated Data, Victor Snipes Swaim

LSU Doctoral Dissertations

Numerous procedures have been suggested for determining the number of factors to retain in factor analysis. However, previous studies have focused on comparing methods using normal data sets. This study had two phases. The first phase explored the Kaiser method, Scree test, Bartlett’s chi-square test, Minimum Average Partial (1976 & 2000), Horn’s parallel analysis, and Longman’s Parallel Analysis on normal data using the estimation methods of Maximum Likelihood (ML), Principal Component Analysis (PCA), and Principal Factor Analysis (PFA). The second phase explored the Kaiser method, Scree test, Minimum Average Partial (1976 & 2000), and Horn’s parallel analysis, and Longman’s Parallel …