Best linear predictors for factor scores

References

• Anderson , T.W. and Rubin , H. 1956 . Statistical inference in factor analysis . Pro , 5 : 111 – 150 .
   Google Scholar
• Bartholomew , D.J. 1987 . Latent variable models and factor analysis , London : Charles Griffin .
   Google Scholar
• Bartlett , M. S. 1937 . The statistical conception of mental factors . British Journal of Psychology , 28 : 97 – 104 .
   Google Scholar
• Basilevsky , A. 1994 . Statistical factor analysis and related methods , New York : John Wiley .
   Google Scholar
• Bentler , P.M. and Dijkstra , T. 1985 . “ Efficient estimation via linearization in structural models ” . In Multivariate Analysis - VI Proceedings of the sixth international symposium on multivariate analysis Edited by: Krishnaiah , P.R. 9 – 42 . Amsterdam
   Google Scholar
• Ferguson , T.S. 1967 . Mathematical statistics , San Diego : Academic Press .
   Google Scholar
• Green , B.F. 1969 . Best linear composites with a specified structure . Psychome-trika , 34 : 301 – 318 .
   Google Scholar
• Guttman , L. 1955 . The determinacy of factor score matrices with implications for five other basic problems of common-factor theory . The British Journal of Statistical Psychology , 8 : 85 – 81 .
   Google Scholar
• Harman , H.H. and Jones , W.H. 1968 . Factor analysis by minimizing residuals (Minres) . Psychometrika , 31 : 351 – 368 .
   Google Scholar
• Henderson , H.V. and Searle , S.R. 1981 . The vec-permutation matrix, the vec operator and Kronecker products: a review . Linear and Multilinear Algebra , 9 : 271 – 288 .
   Google Scholar
• Joreskog , K.G. and Goldberger , A.S. 1972 . Factor analysis by generalized least squares . Psychometrika , 37 : 243 – 260 .
   Web of Science ®Google Scholar
• Joreskog , K.G. and Lawley , D.N. 1968 . New methods in maximum likelihood factor analysis . British Journal of Mathematical and Statistical Psychology , 21 : 85 – 96 .
   Web of Science ®Google Scholar
• Lawley , D.N. and Maxwell , A.E. 1971 . Factor analysis as a statistical method , Durban : Lawrence Erlbaum .
   Google Scholar
• Lee , S.Y. and Poon , W.Y. 1995 . Estimation of factor scores in a two-level confirmatory factor analysis model . Computational Statistics Amp; Data Analaysis , 20 : 275 – 284 .
   Google Scholar
• Lehmann , E.L. 1986 . Testing statistical hypotheses , New York : John Wiley .
   Google Scholar
• Lowner , K. 1934 . Uber monotone Matrixfunktionen . Mathematisches Zeitschrift , 38 : 177 – 216 .
   Google Scholar
• Magnus , J.R. and Neudecker , H. 1991 . Matrix differential calculus with applications in statistics and economics , Chichester : John Wiley .
   Google Scholar
• McDonald , R.P. and Burr , E.J. 1967 . A comparison of four methods of constructing factor scores . Psychometrika , 32 : 381 – 401 .
   Web of Science ®Google Scholar
• Norusis , M.J. 1992 . SPSS/PC⁺ professional statistics version 5.0 , Chicago : SPSS Inc .
   Google Scholar
• Penrose , R. 1955 . A generalized inverse for matrices . Proceedings of the Cambridge Philosophical Society , 51 : 406 – 413 .
   Google Scholar
• Rao , C.R. 1973 . Linear statistical inference and its applications , New York : John Wiley .
   Google Scholar
• Swain , A.J. 1975 . A class of factor analysis estimation procedures with common asymptotic sampling properties . Psychometriha , 40 : 315 – 335 .
   Web of Science ®Google Scholar
• Ten Berge , J.M.F. 1983 . On Green's best linear composites with a specified structure, and oblique estimates of factor scores . Psychometrika , 43
   Google Scholar
• Thurstone , L.L. 1935 . The vectors of mind , Chicago : University of Chicago Press .
   Google Scholar
• Wansbeek , T.J. “ Vec operator ” . In Encyclopedia of statistical sciences , Edited by: Kotz , S. , Johnson , N.L. and Read , C.B. Vol. 9 , New York : John Wiley .
   Google Scholar