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Part of the book series: Perspectives on Individual Differences ((PIDF))

Abstract

The purpose of this chapter is to provide an overview of exploratory analysis to guide users in selecting appropriate procedures. While it will occasionally be necessary to present some new material to aid in selection of appropriate techniques, no new techniques are presented here. The emphasis will be on the selections to be made and how the results may differ depending on those selections. The result, hopefully, is a guide to the selection and interpretation of appropriate exploratory factor analyses for the researcher familiar with basic factor-analytic procedures and terminology.

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References

  • Baggaley, A. R. Deciding on the ratio of number of subjects to number of variables in factor analysis. Multivariate Experimental Clinical Research, 1982, 6, 81–85.

    Google Scholar 

  • Cattell, R. B. The description and measurement of personality. New York: World Book, 1946.

    Google Scholar 

  • Cattell, R. B. The scientific use of factor analysis in behavioral and life sciences. New York: Plenum Press, 1978.

    Google Scholar 

  • Cattell, R. B., and Burdsal, C. A. The radial parcel double factoring design: A solution to the item-vsparcel controversy. Multivariate Behavioral Research, 1975, 10, 165–179.

    Article  Google Scholar 

  • Cattell, R. B., Balcar, K. R., Horn, J. L., and Nesselroade, J. R. Factor matching procedures: An improvement of the s index; with tables. Educational and Psychological Measurement, 1969, 29, 781–792.

    Article  Google Scholar 

  • Cureton, E. E., and D’Agostino, R. B. Factor analysis: An applied approach. Hillsdale, N.J.: Erlbaum, 1983.

    Google Scholar 

  • Everett, J. E. Factor comparability as a means of determining the number of factors and their rotation. Multivariate Behavioral Research, 1983, 18, 197–218.

    Article  Google Scholar 

  • Eysenck, H. J. The structure of human personality ( 2nd ed. ). London: Methuen, 1960.

    Google Scholar 

  • Gorsuch, R. L. Data analysis of correlated independent variables. Multivariate Behavioral Research, 1973, 8, 89–107.

    Article  Google Scholar 

  • Gorsuch, R. L. Factor analysis. Philadelphia, Penn: Saunders, 1974.

    Google Scholar 

  • Gorsuch, R. L. Factor analysis ( 2nd ed. ). Hillsdale, N.J.: Erlbaum, 1983.

    Google Scholar 

  • Guertin, W. H. Do the different methods of factor analysis still give almost identical results? Perceptual and Motor Skills, 1971, 33, 600–602.

    Article  Google Scholar 

  • Guttman, L. Some necessary conditions for common factor analysis. Psychometrika, 1954, 19, 149–161.

    Article  Google Scholar 

  • Hakstian, A. R., and Muller, V. J. Some notes on the number of factors problem. Multivariate Behavioral Research, 1973, 8, 461–475.

    Article  Google Scholar 

  • Hakstian, A. R., Rogers, W. T., and Cattell, R. B. The behavior of number-of-factors rules with simulated data. Multivariate Behavioral Research, 1982, 17, 193–219.

    Article  Google Scholar 

  • Harman, H. H. Modern factor analysis. Chicago: University of Chicago Press, 1960.

    Google Scholar 

  • Harman, H. H. Modern factor analysis. Chicago: University of Chicago Press, 1967.

    Google Scholar 

  • Hannan, H. H. Modern factor analysis (3rd ed. rev.). Chicago: University of Chicago Press, 1976.

    Google Scholar 

  • Holzinger, K. J., and Harman, H. H. Factor analysis. Chicago: University of Chicago Press, 1941.

    Google Scholar 

  • Horn, J. L., and Engstrom, R. Cattell’s screen test in relation to Bartlett’s chi-square test and other observations on the number of factors problem. Multivariate Behavioral Research, 1979, 14, 283–300.

    Article  Google Scholar 

  • Kuhn, T. S. The structure of scientific revolutions. Chicago: University of Chicago Press, 1962.

    Google Scholar 

  • McDonald, R. P. The dimensionality of tests and items. British Journal of Mathematical and Statistical Psychology, 1981, 34, 100–117.

    Article  Google Scholar 

  • Mulaik, S. A. The foundations of factor analysis. New York: McGraw-Hill 1972.

    Google Scholar 

  • Mulaik, S. A., and McDonald, R. P. The effect of additional variables on factor indeterminacy in models with a single common factor. Psychometrika, 1978, 43, 177–192.

    Article  Google Scholar 

  • Nunnally, J. C. Psychometric theory. New York: McGraw-Hill, 1967.

    Google Scholar 

  • Nunnally, J. C. Psychometric theory ( 2nd ed. ). New York: McGraw-Hill, 1978.

    Google Scholar 

  • Osgood, C. E., Suci, G. H., and Tannenbaum, P. H. The measurement of meaning. Urbana: University of Illinois Press, 1957.

    Google Scholar 

  • Schoenemann, P. H., and Steiger, J. H. Regression component analysis. British Journal of Mathematical and Statistical Psychology, 1976, 29, 175–189.

    Article  Google Scholar 

  • Sokal, R. R. A comparison of five tests for completeness of factor extraction. Transactions of the Kansas Academy of Science, 1959, 62, 141–152.

    Article  Google Scholar 

  • Steiger, J. H. Tests for comparing elements of a correlation matrix. Psychological Bulletin, 1980, 87, 245–251.

    Article  Google Scholar 

  • Thurstone, L. L. Multiple factor analysis. Chicago: University of Chicago Press, 1947.

    Google Scholar 

  • Tucker, L. R., Koopman, R. F., and Linn, R. L. Evaluation of factor analytic research procedures by means of simulated correlation matrices. Psychometrika, 1969, 34, 421–460.

    Article  Google Scholar 

  • Velicer, W. F. An empirical comparison of the similarity of principal component, image, and factor patterns. Multivariate Behavioral Research, 1977, 12, 3–22.

    Article  Google Scholar 

  • Wilson, G. A., and Martin, S. A. An empirical comparison of two methods for testing the significance of a correlation matrix. Educational and Psychological Measurement, 1983, 43, 11–14.

    Article  Google Scholar 

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© 1988 Plenum Press, New York

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Gorsuch, R.L. (1988). Exploratory Factor Analysis. In: Nesselroade, J.R., Cattell, R.B. (eds) Handbook of Multivariate Experimental Psychology. Perspectives on Individual Differences. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0893-5_6

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  • DOI: https://doi.org/10.1007/978-1-4613-0893-5_6

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8232-7

  • Online ISBN: 978-1-4613-0893-5

  • eBook Packages: Springer Book Archive

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