A comparative investigation of rotation criteria within exploratory factor analysis

Multivariate Behavioral Research

Volumn 45, Issue 1, 2010, Pages 73-103

  Sass, Daniel A ^a   Schmitt, Thomas A ^b  

^a UNIVERSITY OF TEXAS AT SAN ANTONIO   (United States)

^b EASTERN MICHIGAN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77951202741     PISSN: 00273171     EISSN: None     Source Type: Journal    
DOI: 10.1080/00273170903504810     Document Type: Article

References (35)

1. Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16, 397-438.
2. Browne, M. W. (2001). An overview of analytic rotation in exploratory factor analysis. Multivariate Behavioral Research, 36, 111-150.
3. Carroll, J. B. (1953). An analytic solution for approximating simple structure in factor analysis. Psychometrika, 18, 23-38.
4. Crawford, C. B. (1975). Determining the number of interpretable factors. Psychological Bulletin, 82,226-237.
5. Crawford, C. B., & Ferguson, G. A. (1970). A general rotation criterion and its use in orthogonal rotation. Psychometrika, 35, 321-332.
6. Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis. Hillsdale, NJ: Erlbaum.
7. de Vet, H. C. W., Adèr, H. J., Terwee, C. B., & Pouwer, F. (2005). Are factor analytical techniques used appropriately in the validation of status questionnaires? A systematic review on the quality of factor analysis of the SF-36. Quality of Life Research, 14, 1203-1218.
8. 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.
9. Finch, H. (2006). Comparison of the performance of Varimax and Promax rotations: Factor structure recovery for dichotomous items. Journal of Educational Measurement, 43(1), 39-52.
10. Flora, D. B., & Curran P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9, 466-491.
11. Ford, J. K., MacCallum, R. C., & Tait, M. (1986). The application of exploratory factor analysis in applied psychology: A critical review and analysis. Personnel Psychology, 39, 291-314.
12. Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Erlbaum.
13. Harman, H. H. (1976). Modern factor analysis (3rd ed.). Chicago: The University of Chicago Press.
14. Hayton, J. C., Allen, D. G., & Scarpello, V. (2004). Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods, 7, 191-205.
15. Henson, R. K., & Roberts, J. K. (2006). Use of exploratory factor analysis in published research: Common errors and some comment on improved practice. Educational and Psychological Measurement, 66, 393-416.
16. Hogarty, K. Y., Hines, C. V., Kromrey, J. D., Ferron, J. M., & Mumford, K. R. (2005). The quality of factor solutions in exploratory factor analysis: The influence of sample size, communality, and overdetermination. Educational and Psychological Measurement, 65, 202-226.
17. Hurley, A. E., Scandura, T. A., Schriesheim, C. A., Brannick, M. T., Seers, A., Vandenberg, R. J., Et al. (1997). Exploratory and confirmatory factor analysis: Guidelines, issues, and alternatives. Journal of Organizational Behavior, 18, 667-683.
18. Jennrich, R. I. (2007). Rotation methods, algorithms, and standard errors. In R. Cudeck & R. C. MacCallum (Eds.), Factor analysis at 100: Historical developments and future directions (1st ed., pp. 315-335). Mahwah, NJ: Erlbaum.
19. Jöreskog, K., & Moustaki, I. (2001). Factor analysis for ordinal variables: A comparison of three approaches. Multivariate Behavioral Research, 36, 347-387.
20. Kaiser, H. F. (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23,187-200.
21. Kass, R. A., & Tinsley, H. E. A. (1979). Factor analysis. Journal of Leisure Research, 11, 120-138.
22. MacCallum, R. C., Roznowski, M., & Necowitz, L. B. (1992). Model modification in covariance structure analysis: The problem of capitalization on chance. Psychological Bulletin, 111, 490-504.
23. MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999). Sample size in factor analysis. Psychological Methods, 4, 84-99.
24. McCammon, R. B. (1966). Principal component analysis and its application in large-scale correlation studies. Journal of Geology, 74, 721-733.
25. McDonald, R. P. (2005). Semiconfirmatory factor analysis: The example of anxiety and depression. Structural Equation Modeling, 12, 163-172.
26. McKeon, J. J. (1968). Rotation for maximum association between factors and tests. Unpublished manuscript, Biometric Laboratory, George Washington University, Washington, DC.
27. Mulaik, S. A. (2005). Looking back on the indeterminacy controversies in factor analysis. In A. Maydeu-Olivares & J. J. McArdle (Eds.), Contemporary psychometrics: A festschrift for Roderick P. McDonald (pp. 173-206). Mahwah, NJ: Erlbaum.
28. Muthén, L. K., & Muthén, B. O. (1998-2007). Mplus user's guide. Los Angeles: Author.
29. Russell, D. W. (2002). In search of underlying dimensions: The use (and abuse) of factor analysis in PSPB. Personality and Social Psychology Bulletin, 28, 1629-1646.
30. Spearman, C. (1904). General intelligence, objectively determined and measured. American Journal of Psychology, 15, 201-293.
31. Steiger, J. H. (1979). Factor indeterminacy in the 1930's and the 1970's: Some interesting parallels. Psychometrika, 44, 157-166.
32. Steiger, J. H. (1994). SEPATH-A Statistica for Windows structural equations modeling program. In F. Faulbaum (Ed.), Softstat'93: Advances in statistical software 4. Stuttgart, Germany: Gustav Fischer Verlag.
33. 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.
34. Thurstone, L. L. (1947). Multiple-factor analysis. Chicago: The University of Chicago Press.
35. Yates, A. (1987). Multivariate exploratory data analysis: A perspective on exploratory factor analysis. Albany: State University of New York Press.