Many researchers do not run higher order factoring because they must exit the traditional statistical packages to complete the necessary analyses, or because they do not know the procedures for the analyses. This article describes the procedures for higher order factoring and provides the SAS/PC program for the final solution.
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References
1.
Cattell, R. B. (1978). The scientific use of factor analysis. New York: Plenum.
2.
Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
3.
Johnson, W. L. (1990). Factorial structure of the Charles F. Kettering Climate Profile. Psychological Reports, 67, 67-74.
4.
Kerlinger, F. N. (1984). Liberalism and conservatism: The nature and structure of social attitudes. Hillsdale, NJ: Lawrence Erlbaum.
5.
Loehlin, J. C. (1992). Latent variable models (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
6.
Schmid, J. , & Leiman, J. M. (1957). The development of hierarchical factor solutions. Psychometrika, 22, 53-61.
7.
Thompson, B. (1990). SECONDOR: A program that computes a second-order principal components analysis and various interpretation aids. Educational and Psychological Measurement, 50, 575-580.
8.
Thompson, B. , Wasserman, J. D., Gyurke, J. S., Matula, K., Mitchell, J. H., & Carr, B. (1994, April). The validity of the mental and motor scores from the new Bayley scales of infant development-II: A second-order factor analysis. Paper presented at the annual meeting of the American Educational Research Association, New Orleans. (ERIC Document Reproduction Service No. forthcoming).