Reference for PCA?

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Recently I am doing Principal Component Analysis, and i read from some online material that ...

The first phase of principal component analysis was devoted to verifying that the following requirements were met:

• The variables included must be metric level or dichotomous nominal level and the sample size must be greater than 50 (preferably 100)
• The ratio of cases to variables must be 10 to 1 or larger
• The correlation matrix for the variables better contain significant correlations and must has a determinant (R) of  0 ＜｜R︱＜1
• The Bartlett’s test of sphericity is statistically significant and the size of the overall Kaiser-Meyer-Olkin (KMO) statistic must be 0.60 or above
• Variables with measure of sampling adequacy (MSA) values below 0.60 must be removed
  

I have follow the above steps in the analysis, but when I am doing the writing up, I need formal referencing for the above "rules". It seems hard for me to find out the reference. Can anyone help me on that? Thanks a lot!

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关键词：Reference erence refer For Ref following principal Recently included devoted

• Pett, M. A., Lackey, N. R., & Sullivan, J. J. (2003). Making sense of factor analysis: The use of factor analysis for instrument development in health care research. Thousand Oaks, CA: Sage Publications, Inc.
• Brown T. (2006)  Confirmatory Factor Analysis for Applied Research, Guilford Press, New York.
• Costello A., Osborne J. (2005) Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Practical Assessment Research & Evaluation, 10, (7) Available online: http://pareonline.net/getvn.asp?v=10&n=7
• 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.
• Henson R., Roberts J. (2006) Use of Exploratory Factor Analysis in Published Research: Common Errors and Some Comment on Improved Practice. Educational and Psychological Measurement. 66, 393-416.
• Preacher K., MacCallum R. (2003) Repairing Tom Swift’s electric factor analysis machine. Understanding Statistics. 2, (1), 13-43.
• Thompson, B., & Daniel, L. G. (1996). Factor analytic evidence for the construct validity of scores: A historical overview and some guidelines. Educational and Psychological Measurement, 56, 197-208.