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. (1998), CEFA: Comprehensive Exploratory Factor Analysis .

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, Inc.

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 Co.

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.

J reskog, K.G. (1962), On the Statistical Treatment of Residuals in Factor Analysis, Psychometrika , 27, 335 “354.

J reskog, 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, Inc.

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

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

Kaiser, H.F. and Cerny, B.A. (1979), Factor Analysis of the Image Correlation Matrix, Educational and Psychological Measurement , 39, 711 “714.

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, Inc.

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 Publishing Co., 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.

McDonald, R.P. (1975), A Note on Rippe s Test of Significance in Common Factor Analysis, Psychometrika , 40, 117 “119.

McDonald, R.P. (1985), Factor Analysis and Related Methods , New Jersey: Lawrence Erlbaum Associates, Publishers.

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

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

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.




SAS.STAT 9.1 Users Guide (Vol. 2)
SAS/STAT 9.1 Users Guide Volume 2 only
ISBN: B003ZVJDOK
EAN: N/A
Year: 2004
Pages: 92

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