Michael Browne obtained his BA (1958) and M.Sc. (1965) degrees from the University of the Witwatersrand and his Ph. D. (1969) from the University of South Africa. He was employed at the South African National Institute for Personnel Research from 1959 to 1973, starting as Research Assistant and ending as Chief Research Officer. While at the NIPR he spent several years on sabbatical in the USA. In 1963 he was invited by Rolf Bargmann to spend six months with him at the IBM Research Center in Yorktown Heights, N.Y. At the time Rolf was manager of the Applied Statistics group of the IBM Research Center and was a dedicated professor with no students. He gave Michael a desk in his own office and sporadically in response to questions he would go to the chalk board and deliver a lecture on some aspect of statistics or psychometrics. The foundations for Michael’s subsequent career were laid during this visit. Not only did he gain a great deal of foundational knowledge but his attitudes were strongly influenced by Rolf’s insistence on perfection and impatience with anything that was not up to standard. Another influential period of his life was three years spent as one of Fred Lord’s Visiting Research Fellows in 1967, 1968 and 1973.  Members of this group at various times during Michael’s visits were Bob Jennrich, Karl Jöreskog, Walter Kristof, Fumiko Samejima, Bill Meredith, Mel Novick, Peter Schönemann, Ingram Olkin, and Leon Gleser. All were persons who already had, or would subsequently achieve, international prominence in psychometrics. Michael attributes the development of his abilities more to early interactions with very capable persons around him, than to formal classroom lectures. After his last visit to ETS he joined the University of South Africa and is now at the Ohio State University.

Michael Browne's research has been primarily concerned with statistical modeling of multivariate psychological data. He has made contributions on asymptotically distribution free estimation in the analysis of moment structures, asymptotic robustness of multivariate normal theory against violation of assumptions, multiplicative models for multitrait-multimethod data, circumplex models for the investigating the personality circle, nonlinear latent curve models, and rotational methodology for factor analysis. His main current interests are in multivariate time series and dynamic factor analysis. He regards his collaborations with Stephen du Toit, Alexander Shapiro, Bud MacCallum and John Nesselroade as highlights of his later academic career.

 

Education

B.A., University of the Witwatersrand, 1958.

B.A. Hons., Mathematical Statistics, University of the Witwatersrand, 1961.

M.Sc., Mathematical Statistics, University of the Witwatersrand, 1965.

Supervisor: Professor J.E. Kerrich.

Title of Dissertation: A comparison of factor analytic techniques.

Ph.D., Mathematical Statistics, University of South Africa,1968.

Promoter: Professor H.S. Steyn.

Title of Thesis: Factor analysis models and their application to prediction problems.

Work Experience

Research Assistant - Chief Research Officer, National Institute for Personnel Research, Johannesburg, 1958-1973.

CSIR sponsored visit to Educational Testing Service, Princeton, N.J. and the Thomas Watson Research Center, IBM, Yorktown Heights, N.Y. 1962-1963.

Visiting Research Fellow, Educational Testing Service, Princeton, N.J. (I) 1966, (ii) 1967, (iii) 1972.

Consultant: Institute for Statistical Research, Human Sciences Research Council, 1979-1990.

Visiting Scholar, Center for the Study of Adolescent Drug Abuse Etiologies, Department of Psychology, University of California at Los Angeles, 1980.

Hill Visiting Professor, Department of Psychology,University of Minnesota, April-September, 1988.

Professor, University of South Africa, Department of Statistics, 1973-1990.

Professor, Ohio State University, Departments of Psychology and Statistics, 1991-present.

Ph. D. Dissertations Supervised

S.H.C. du Toit. The analysis of growth curves. University of South Africa, 1979.

W. Kristof. Contributions to the analysis of correlation coefficients. University of South Africa, 1982.

M. W. Muller. Multidimensional unfolding of preference data by maximum likelihood. University of South Africa, 1984.

C. D. Elphinstone. A method of distribution and density estimation. University of South Africa, 1985.

P.M.T. Hwang. Factor analysis of time series. The Ohio State University, 1997.

K. Tateneni. Use of automatic and numerical differentiation in the estimation of asymptotic standard errors in exploratory factor analysis. The Ohio State University, 1998.

Guangjian Zhang. Bootstrap Procedures for Dynamic Factor Analysis. The Ohio State University, 2006.

Longjuan Liang. A semi-parametric approach to estimating item response functions. The Ohio State

University, 2007.

Professional Activities

South African Statistical Association: Member of Executive Committee, 1970, 1971, 1977-1979, Fellow, 1976, President, 1978.

International Statistical Institute: Elected Member, 1983-.

Psychometric Society: Member, Board of Trustees, 1984-1988, 1993-1995, 1997-99 , President 1991-1992.

Society for Multivariate Experimental Psychology: Elected member, 1992-present , President 1998-1999.

Psychometrika, Associate Editor, 1988-2003. Member of Editorial Council, 1998-2004.

Behaviormetrika, Member of Editorial Board 2001-present.

British Journal of Mathematical and Statistical Psychology: Member of Editorial Board, 1981-1990.

Multivariate Behavioral Research, Member of Board of Consulting Editors, 2007-present.

Psychological Methods, Member of Editorial Board, 2005-present.

Psychological Association of South Africa: Elected Honorary Member, 1986.

Institute for Psychometric and Edumetric Research, Human Sciences Research Council: Advisory Committee, 1981-1986.

Institute for Personnel Research, Human Sciences Research Council: Advisory Committee, 1984-1985.

Honours and Awards

2003 Society for Multivariate Experimental Psychology: Sells Award for distinguished lifetime achievement in multivariate experimental psychology.

2005 Ohio State University, Department of Psychology: Roger E. Kirk Scholar for 2005-2008.

2006 Ohio State University, Department of Psychology: Fred Brown Research Award.

2010 Psychometric Society: Lifetime Achievement Award.


Publications

Browne, M. W. (1967). On oblique Procrustes Rotation. Psychometrika, 32, 125-132.

Browne, M. W. (1968). A note on lower bounds for the number of common factors. Psychometrika, 33, 233-236.

Browne, M. W. (1968). A comparison of factor analytic techniques. Psychometrika, 33, 267-334.

Browne, M. W. & Kristof, W. (1969). On the oblique rotation of a factor matrix to a specified pattern. Psychometrika, 34, 237-248.

Browne, M. W. (1969). Fitting the factor analysis model. Psychometrika, 34, 375-394.

Browne, M. W. (1972). Orthogonal rotation to a partially specified target. British Journal of Mathematical and Statistical Psychology, 25, 115-120.

Browne, M. W. (1972). Oblique rotation to a partially specified target. British Journal of Mathematical and Statistical Psychology, 25, 207-212.

Browne, M. W. (1974). Gradient methods for analytic rotation. British Journal of Mathematical and Statistical Psychology, 27, 115-121.

Browne, M. W. (1974). Generalized least squares estimators in the analysis of covariance structures. South African Statistical Journal, 8, 1-24.

Browne, M. W. (1975). Predictive validity of a linear regression equation. British Journal of Mathematical and Statistical Psychology, 28, 79-87.

Browne, M. W. (1975). A comparison of single sample and cross-validation methods for estimating the mean squared error of prediction in multiple linear regression. British Journal of Mathematical and Statistical Psychology, 28, 112-120.

Browne, M. W. (1977). The analysis of patterned correlation matrices by generalized least squares. British Journal of Mathematical and Statistical Psychology, 30, 113-124.

Browne, M. W. & Rock, D. A. (1978). The choice of additive constants in ridge regression. South African Statistical Journal, 12, 65-74.

Browne, M. W. (1978). The likelihood ratio test for the equality of correlation matrices. British Journal of Mathematical and Statistical Psychology, 31, 209-217.

Browne, M. W. (1979). The maximum likelihood solution in inter-battery factor analysis. British Journal of Mathematical and Statistical Psychology, 32, 75-86.

Browne, M. W. (1980). Factor analysis of multiple batteries by maximum likelihood. British Journal of Mathematical and Statistical Psychology, 33, 184-199.

Shapiro, A. & Browne, M. W. (1983). On the investigation of local identifiability: A counter example. Psychometrika, 48, 303-304.

Cudeck, R. & Browne, M. W. (1983). Cross-validation of covariance structures. Multivariate Behavioral Research, 18, 147-167.

Steiger, J. H. & Browne, M. W. (1984). The comparison of interdependent correlations between optimal linear composites. Psychometrika, 49, 11-24.

Browne, M. W. (1984). The decomposition of multi trait-multi method matrices. British Journal of Mathematical and Statistical Psychology, 37, 1-21.

Browne, M. W. (1984). Asymptotically distribution-free methods for the analysis of covariance structures. British Journal of Mathematical and Statistical Psychology, 37, 62-83.

Browne, M. W. (1985). Comments on D. J. Bartholomew's "Foundations of Factor Analysis". British Journal of Mathematical and Statistical Psychology, 38, 132-133.

Steiger, J. H., Shapiro, A. & Browne, M. W. (1985). On the multivariate asymptotic distribution of sequential chi-square statistics. Psychometrika, 50, 253-263.

Browne, M. W. (1985). The information matrix for image factor analysis. Linear Algebra and its Applications, 70, 51-59.

Greenacre, M. J. & Browne, M. W. (1986). An efficient alternating least-squares algorithm to perform multidimensional unfolding. Psychometrika, 51, 241-250.

Browne, M. W. & Shapiro, A. (1986). The asymptotic covariance matrix of correlation coefficients under general conditions. Linear Algebra and its Applications, 82, 169-176.

Browne, M. W. (1987). Robustness of statistical inference in factor analysis and related models. Biometrika, 74, 375-384.

Browne, M. W. (1987). The Young-Householder algorithm and the least squares multidimensional scaling of squared distances. Journal of Classification, 4, 175-190.

Browne, M. W. & Shapiro, A. (1987). Adjustments for kurtosis in factor analysis with elliptically distributed errors. Journal of the Royal Statistical Society, Series B, 49, 346-352.

Shapiro, A. & Browne, M. W. (1987). Analysis of covariance structures under elliptical distributions. Journal of the American Statistical Association, 82, 1092-1097.

Browne, M. W. (1988). Properties of the maximum likelihood solution in factor analysis regression. Psychometrika, 53, 585-590.

Browne, M. W. & Neudecker, H. (1988). The covariance matrix of a general symmetric matrix polynomial under normality assumptions. Linear Algebra and its Applications, 103, 13-20.

Browne, M. W. & Shapiro, A. (1988). Robustness of normal theory methods in the analysis of linear latent variate models. British Journal of Mathematical and Statistical Psychology, 41, 193-208.

Shapiro, A. & Browne, M. W. (1989). On the asymptotic bias of estimators under parameter drift. Statistics and Probability Letters, 7, 221-224.

Browne, M. W. & Cudeck, R. (1989). Single sample cross-validation indices for covariance structures. Multivariate Behavioral Research, 24, 445-455.

Shapiro, A. & Browne, M. W. (1990). On the treatment of correlation structures as covariance structures. Linear Algebra and its Applications, 127, 567-587.

Wothke, W. & Browne, M. W. (1990). The direct product model for the MTMM matrix parameterised as a second order factor analysis model. Psychometrika, 55, 255 -262.

Browne, M. W. & Shapiro, A. (1991). Invariance of covariance structures under groups of transformations. Metrika, 38, 345-355.

Browne, M.W. (1992). Circumplex models for correlation matrices. Psychometrika, 57, 469-497.

Browne, M.W. & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods and Research, 21, 230-258.

Browne, M.W. & Du Toit, S.H.C. (1992). Automated fitting of nonstandard models. Multivariate Behavioral Research, 27, 269-300.

Cudeck, R. & Browne , M.W. (1992). Constructing a covariance matrix that yields a specified minimizer and a specified minimum discrepancy function value. Psychometrika, 57, 357-369.

MacCallum, R. & Browne, M.W. (1993). The use of causal models in covariance structure analysis: Some practical issues. Psychological Bulletin, 114, 533-541.

MacCallum, R.C., Browne, M.W. & Sugawara, H.M. (1996) Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130-149.

Browne, M.W. & Tateneni, K.(1997) Noniterative estimation for the multiple battery factor analysis model. Behaviormetrika, 24, 3-18.

Fabrigar, L. R., Visser, P. S. & Browne, M.W.(1997) Conceptual and methodological issues in testing the circumplex structure of data in Personality and Social Psychology. Personality and Social Psychology Review, 1,184-203.

Browne, M.W. (2000) Cross-validation methods. Journal of Mathematical Psychology, 44, 108-132.

Browne, M.W. (2000) Psychometrics. Journal of the American Statistical Association, 95, 34-38.

Tateneni, K. & Browne, M.W. (2000) A noniterative method of joint correspondence analysis. Psychometrika, 65, 157-165.

Browne, M.W., (2001) An overview of analytic rotation in exploratory factor analysis. Multivariate Behavioral Research, 36, 111-150.

Browne, M.W., MacCallum, R.C., Kim, C-T., Andersen, B.L. & Glaser, R.(2002) When fit indices and residuals are incompatible. Psychological Methods, 7,403-421.

MacCallum R. C., Browne, M. W. & Preacher, K. J. (2002) Comments on the Meehl-Waller Procedure for Appraisal of Path Analysis Models. Psychological Methods, 7, 283-300.

Golden-Kreutz, D. M., Browne, M. W. & Frierson, G. M. & Andersen, B. L. (2004). Assessing stress in cancer patients: A second-order factor analysis model for the perceived stress scale. Assessment, 11, 216-223.

Hawkley, L. C., Browne. M. W. & Cacioppo, J. T. (2005). How can I connect with thee? Let me count the ways. Psychological Science, 16, 798-804.

MacCallum, R. C., Browne, M. W. & Cai, L. (2006). Testing differences between nested covariance structure models: Power analysis and null hypotheses. Psychological Methods, 11,19-35.

Zhang, G. & Browne, M. W. (2006). Bootstrap fit testing, confidence intervals and standard error estimation in the factor analysis of polychoric correlation matrices. Behaviormetrika, 33, 61-74.

Du Toit, S. H. C. & Browne, M. W (2007). Stuctural equation modeling of multivariate time series. Multivariate Behavioral Research, 42, 67–101.

Zhang, G. & Browne, M. W. (2007). Design and analysis of incomplete multitrait-multimethod studies from a multiplicative perspective. Psychometrika, 72, 361-375.

Ayr, L. K., Yeates, K. O., Taylor, G & Browne, M. W. (2009). Dimensions of postconcussive symptoms in children with mild traumatic brain injuries. Journal of the International Neuropsychological Society, 15, 19–30.

MacCallum, R., Lee, T., & Browne, M.W. (2010) The issue of isopower in power analysis for tests of covariance structure models. Structural Equation Modeling: A Multidisciplinary Journal, 17, 23–41.

 

 

Book chapters and encylopedia entries

Browne, M. W. (1977). Generalized least squares estimators in the analysis of covariance structures. In D. J. Aigner & A. S. Goldberger (Eds.), Latent Variables in Socioeconomic Models. North Holland. (Reprinted from South African Statistical Journal, 1974, 8, 1-24.)

Browne, M. W. (l982). Covariance structures. In D. M. Hawkins (Ed.), Topics in Applied Multivariate Analysis. Cambridge: University Press, 1982, 72-141.

Browne, M. W. (1983). Principal components: A review. In Proceedings of the Seminar on Principal Components Analysis in the Atmospheric and Earth Sciences. C.S.I.R.

Browne, M. W. (l985). Multitrait-multimethod matrices. In S. Kotz & N. L. Johnson (Eds.), Encyclopaedia of Statistical Sciences, 5, 739-741. New York: Wiley.

Browne, M. W. (1988). Rotation techniques. In S. Kotz & N. L. Johnson (Eds.), Encyclopaedia of Statistical Sciences, 8, 196-200. New York: Wiley.

Browne, M. W. (1989). Relationships between an additive model and a multiplicative model for multitrait-multimethod matrices. In R. Coppi & S. Bolasco (Eds.), Analysis of Multiway Data Matrices. pp. 507B520, Amsterdam: Elsevier.

Browne, M. W. (1990). Asymptotic robustness of normal theory methods for the analysis of latent curves. In W. Fuller & P. Brown (Eds.), Statistical Analysis of Measurement Error Models and Applications: Proceedings of a Summer Research Conference, June 10-16, 1989. pp. 211-225, American Mathematical Society: Contemporary Mathematics Series, 112.

Browne, M. W. & du Toit, S.H.C. (1991). Models for learning data. In L. M. Collins & J. L. Horn (Eds.), Best Methods for the Analysis of Change. pp. 47-68. Washington: American Psychological Association.

Browne M.W. (1993). Structured Latent Curve Models. In:Cuadras, C.M. & Rao, C.R. (Eds.) Multivariate Analysis: Future Directions 2. pp. 171-197. North Holland Series in Statistics & Probability, Vol. 7. Amsterdam: North Holland.

Browne, M.W. (1993). Models for Multitrait-Multimethod Matrices. In: Steyer, R., Wender, K. F. & Widaman, K. F. (Eds.) Psychometric Methodology: Proceedings of the 7th European Meeting of the Psychometric Society in Trier. pp. 61-73. Stuttgart: Gustav Fischer Verlag.

Browne, M.W. & Cudeck, R. (1993). Alternative ways of assessing model fit. In: Bollen, K.A. & Long, J.S. (Eds.) Testing Structural Equation Models. pp. 136-162. Beverly Hills, CA: Sage

Browne, M.W. & Arminger, G. (1995). Specification and Estimation of Mean and Covariance Structure Models. In: Arminger, G., Clogg, C.C. & Sobel, M.E. (Eds.) Handbook of Statistical Modeling in the Social and Behavioral Sciences. pp. 185-249, New York: Plenum.

Browne, M.W. & Strydom, H.F.(1997) Non-iterative Fitting of the Direct Product Model for Multitrait-Multimethod Matrices. In: Berkane, M. (ed.) Latent Variable Modeling with Applications to Causality. pp. 229-245, New York: Springer Verlag.

Browne, M.W. (1998) Simplex Models. In: Armitage, P. & Colton, T. (eds) Encyclopedia of Biostatistics. pp. 4012-4108. New York: Wiley.

Du Toit, S.H.C. & Browne, M.W. (2001) The covariance structure of a vector time series. In: R. Cudeck, S. H. C. du Toit, & D. Sörbom, (eds.) Structural Equation Modeling: Present and Future, pp. 279-314. Chicago: Scientific Software International Inc.

Browne, M. W. & Nesselroade, J. R. (2005) Representing psychological processes with dynamic factor models: Some promising uses and extensions of ARMA time series models. In A. Maydeu-Olivares & J. J. McArdle (Eds.), Advances in Psychometrics: A Festschrift to Roderick P. McDonald, pp.415-451. Mahwah, NJ: Erlbaum.

Browne, D. W, Browne, M. W. & Fitz, M. P. (2006). Singular value decomposition of correlated MIMO channels, Proceedings of the 2006 IEEE Global Communications Conference, pp. 1-6.

Browne, M. W. & Zhang, G. (2007). Repeated time series models for learning data. In S. M. Boker & M. J. Wenger (Eds.), Data Analytic Techniques for Dynamical Systems, pp. 25-45. Mahwah, NJ: Erlbaum.

Browne, M. W. & Zhang, G. (2007). Developments in the Factor Analysis of Individual Time Series. In R. Cudeck & R. C. MacCallum (Eds.), Factor Analysis at 100: Historical Developments and Future Directions, pp. 265-291. Mahwah, NJ: Erlbaum.

MacCallum, R. C., Browne, M. W. & Cai, L. (2007). Factor analysis models as approximations: Some history and some implications. In R. Cudeck & R. C. MacCallum (Eds.), Factor Analysis at 100: Historical Developments and Future Directions, pp.153-175. Mahwah, NJ: Erlbaum.

Zhang, G., & Browne, M. W. (2010). Dynamic factor analysis with ordinal variables. In Chow, S., Ferrer, E., & Hsieh, F. (Eds.), Statistical methods for modeling human dynamics: An interdisciplinary dialogue, pp. 213–318. Notre Dame Series on Quantitative Methodology (Vol. 4). New York, NY: Taylor & Francis.