References

Akaike, H. (1973), "Information Theory and the Extension of the Maximum Likelihood Principle," in Second International Symposium on Information Theory, ed. V. N. Petrov and F. Csaki, Budapest: Akailseoniai-Kiudo, 267–281.

Akaike, H. (1974), "A New Look at the Statistical Identification Model," IEEE Transactions on Automatic Control, 19, 716–723.

Akaike, H. (1987), "Factor Analysis and AIC," Psychometrika 52, 317–332.

Archer, C. O. and Jennrich, R. I. (1973), "Standard Errors for Orthogonally Rotated Factor Loadings," Psychometrika, 38, 581–592.

Bickel, P. J. and Doksum, K. A. (1977), Mathematical Statistics, San Francisco: Holden-Day.

Browne, M. W. (1982), "Covariance Structures," in Topics in Applied Multivariate Analysis, ed. D. M. Hawkins, Cambridge: Cambridge University Press, 72–141.

Browne, M. W., Cudeck, R., Tateneni, K., and Mels, G. (2004), CEFA: Comprehensive Exploratory Factor Analysis, Version 2.00. http://quantrm2.psy.ohio-state.edu/browne/software.php

Cattell, R. B. (1966), "The Scree Test for the Number of Factors," Multivariate Behavioral Research, 1, 245–276.

Cattell, R. B. (1978), The Scientific Use of Factor Analysis, New York: Plenum.

Cattell, R. B. and Vogelman, S. (1977), "A Comprehensive Trial of the Scree and KG Criteria for Determining the Number of Factors," Multivariate Behavioral Research, 12, 289–325.

Cerny, B. A. and Kaiser, H. F. (1977), "A Study of a Measure of Sampling Adequacy for Factor-Analytic Correlation Matrices," Multivariate Behavioral Research, 12, 43–47.

Crawford, C. B. and Ferguson, G. A. (1970), "A General Rotation Criterion and Its Use in Orthogonal Rotation," Psychometrika, 35, 321–332.

Cureton, E. E. (1968), A Factor Analysis of Project TALENT Tests and Four Other Test Batteries (Interim Report 4 to the U.S. Office of Education, Cooperative Research Project No. 3051), Palo Alto, CA: Project TALENT Office, American Institutes for Research and University of Pittsburgh.

Cureton, E. E. and Mulaik, S. A. (1975), "The Weighted Varimax Rotation and the Promax Rotation," Psychometrika, 40, 183–195.

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.

Fuller (1987), Measurement Error Models, New York: John Wiley & Sons.

Geweke, J. F. and Singleton, K. J. (1980), "Interpreting the Likelihood Ratio Statistic in Factor Models When Sample Size Is Small," Journal of the American Statistical Association, 75, 133–137.

Gorsuch, R. L. (1974), Factor Analysis, Philadelphia: W. B. Saunders.

Harman, H. H. (1976), Modern Factor Analysis, Third Edition, Chicago: University of Chicago Press.

Harris, C. W. (1962), "Some Rao-Guttman Relationships," Psychometrika, 27, 247–263.

Hayashi, K. and Yung, Y. F. (1999), "Standard Errors for the Class of Orthomax-Rotated Factor Loadings: Some Matrix Results," Psychometrika, 64, 451–460.

Horn, J. L. and Engstrom, R. (1979), "Cattell’s Scree Test in Relation to Bartlett’s Chi-Square Test and Other Observations on the Number of Factors Problem," Multivariate Behavioral Research, 14, 283–300.

Jennrich, R. I. (1973), "Standard Errors for Obliquely Rotated Factor Loadings," Psychometrika, 38, 593–604.

Jennrich, R. I. (1974), "Simplified Formulae for Standard Errors in Maximum-Likelihood Factor Analysis," British Journal of Mathematical and Statistical Psychology, 27, 122–131.

Jöreskog, K. G. (1962), "On the Statistical Treatment of Residuals in Factor Analysis," Psychometrika, 27, 335–354.

Jöreskog, K. G. (1977), "Factor Analysis by Least-Squares and Maximum Likelihood Methods," in Statistical Methods for Digital Computers, ed. K. Enslein, A. Ralston, and H. S. Wilf, New York: John Wiley & Sons.

Kaiser, H. F. (1963), "Image Analysis," in Problems in Measuring Change, ed. C. W. Harris, Madison: University of Wisconsin Press.

Kaiser, H. F. (1970), "A Second Generation Little Jiffy," Psychometrika, 35, 401–415.

Kaiser, H. F. and Rice, J. (1974), "Little Jiffy, Mark IV," Educational and Psychological Measurement, 34, 111–117.

Kerlinger, F. N. and Pedhazur, E. J. (1973), Multiple Regression in Behavioral Research, New York: Holt, Rinehart & Winston.

Kim, J. O. and Mueller, C. W. (1978a), Introduction to Factor Analysis: What It Is and How To Do It, Sage University Paper Series on Quantitative Applications in the Social Sciences, series no. 07-013, Beverly Hills, CA: Sage Publications.

Kim, J. O. and Mueller, C. W. (1978b), Factor Analysis: Statistical Methods and Practical Issues, Sage University Paper Series on Quantitative Applications in the Social Sciences, series no. 07-014, Beverly Hills, CA: Sage Publications.

Lawley, D. N. and Maxwell, A. E. (1971), Factor Analysis as a Statistical Method, New York: Macmillan.

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.

Morrison, D. F. (1976), Multivariate Statistical Methods, Second Edition, New York: McGraw-Hill.

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

Rao, C. R. (1955), "Estimation and Tests of Significance in Factor Analysis," Psychometrika, 20, 93–111.

Schwarz, G. (1978), "Estimating the Dimension of a Model," Annals of Statistics, 6, 461–464.

Spearman, C. (1904), "General Intelligence Objectively Determined and Measured," American Journal of Psychology, 15, 201–293.

Stewart, D. W. (1981), "The Application and Misapplication of Factor Analysis in Marketing Research," Journal of Marketing Research, 18, 51–62.

Tucker, L. R. and Lewis, C. (1973), "A Reliability Coefficient for Maximum Likelihood Factor Analysis," Psychometrika, 38, 1–10.

Yung, Y. F. and Hayashi, K. (2001), "A Computationally Efficient Method for Obtaining Standard Error Estimates for the Promax and Related Solutions," British Journal of Mathematical and Statistical Psychology, 54, 125–138.