Chapter Contents
Chapter Contents
Previous
Previous
Next
Next
Introduction to Multivariate Procedures

References

Carroll J.D. (1972), "Individual Differences and Multidimensional Scaling," in R.N. Shepard, A.K. Romney, and S.B. Nerlove (eds.), Multidimensional Scaling: Theory and Applications in the Behavioral Sciences (Volume 1), New York: Seminar Press.

Dziuban, C.D. and Harris, C.W. (1973), "On the Extraction of Components and the Applicability of the Factor Model," American Educational Research Journal, 10, 93 -99.

Greenacre, M.J. (1984), Theory and Applications of Correspondence Analysis, London: Academic Press.

Hanson, R.J. and Norris, M.J. (1981), "Analysis of Measurements Based on the Singular Value Decomposition," SIAM Journal on Scientific and Statistical Computing, 2, 363 -373.

Kshirsagar, A.M. (1972), Multivariate Analysis, New York: Marcel Dekker, Inc.

Lebart, L., Morineau, A., and Warwick, K.M. (1984), Multivariate Descriptive Statistical Analysis: Correspondence Analysis and Related Techniques for Large Matrices, New York: John Wiley & Sons, Inc.

Lee, H.B. and Comrey, A.L. (1979), "Distortions in a Commonly Used Factor Analytic Procedure," Multivariate Behavioral Research, 14, 301 -321.

Mardia, K.V., Kent, J.T., and Bibby, J.M. (1979), Multivariate Analysis, London: Academic Press.

Mulaik, S.A. (1972), The Foundations of Factor Analysis, New York: McGraw-Hill Book Co.

Nishisato, S. (1980), Analysis of Categorical Data: Dual Scaling and Its Applications, Toronto: University of Toronto Press.

Rao, C.R. (1964), "The Use and Interpretation of Principal Component Analysis in Applied Research," Sankhya A, 26, 329 -358.

Van den Wollenberg, A.L. (1977), "Redundancy Analysis -An Alternative to Canonical Correlation Analysis," Psychometrika, 42, 207 -219.

Young, F.W. (1981), "Quantitative Analysis of Qualitative Data," Psychometrika, 46, 357 -388.

Young, F.W., Takane, Y., and de Leeuw, J. (1978), "The Principal Components of Mixed Measurement Level Multivariate Data: An Alternating Least Squares Method with Optimal Scaling Features," Psychometrika, 43, 279 -281.

Chapter Contents
Chapter Contents
Previous
Previous
Next
Next
Top
Top

Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.