Van der Kooij, Dr A.J. (Anita)





Academic career

  • PhD in Data Theory, Center for Child and Family Studies and Data Theory, Leiden University (2007).
  • Junior Researcher at the Data Theory Group, Department of Education, Leiden University (1996) The research project focuses on development of optimal scaling techniques for multivariate analysis and implementing these techniques in the Categories module of SPSS.
  • M.A. in Psychology, Department Psychometrics and Research Methodology, Leiden University (1996).
  • Research Assistent at the Department of Data Theory, Leiden University (1994-1996)

Research areas and activities

  • Optimal scaling techniques for multivariate analysis, with empasis on stability studies of optimal scaling parameters in nonlinear categorical multiple regression.
  • Development and implementation of software in SPSS Categories (CORRESPONDENCE, CATREG, CATPCA, MULTIPLE CORRESPONDENCE).

Publications

  • Hartmann, A.H., Zeeck, A., & Van der Kooij, A.J. (2009). Severity of bulimia nervosa - Components of the syndrome and definition of therapy outcome. Journal of Psychopathology, 42, 22-31.
  • Van der Kooij, A.J. (2007). Prediction Accuracy and Stability of Regression with Optimal Scaling Transformations. Thesis, Leiden University.
  • Linting, M., Meulman, J. J., Groenen, P. J. F., & Van der Kooij, A. J. (2007). Nonlinear Principal Components Analysis: Introduction and Application. Psychological Methods, 12, 336-358.
  • Linting, M., Meulman, J. J., Groenen, P. J. F., & Van der Kooij, A. J. (2007). Stability of Nonlinear Principal Components Analysis: An empirical study using the balanced bootstrap. Psychological Methods, 12, 359-379.
  • Van der Kooij, A.J., Meulman, J.J., and Heiser W.J. (2005) Local Minima in Categorical Multiple Regression. Computational Statistics and Data Analysis, 50, 446-462. 
  • Van der Kooij, A.J. and Meulman, J.J. (2004). Algorithm Document MULTIPLE CORRESPONDENCE. Chicago: SPSS Inc. (http://support.spss.com/tech/default.asp; use "guest'' as user-id and password)
  • Van der Kooij, A.J. and Meulman, J.J. (2004). MULTIPLE CORRESPONDENCE. In SPSS Inc. (Ed.), SPPS 13.0. Command Syntax Reference (pp. 1085-1099). Chicago: SPSS Inc.
  • Van der Kooij, A.J. and Meulman, J.J. (2004). MULTIPLE CORRESPONDENCE Analysis. In J.J. Meulman, W.J. Heiser, and SPSS Inc. (Eds.), SPPS Categories 13.0. (pp. 1-15, 297-316). Chicago: SPSS Inc.
  • Meulman J.J., van der Kooij A.J., and Heiser W.J. (2004). Principal Components Analysis with Nonlinear Optimal Scaling Transformations for Ordinal and Nominal Data. In D. Kaplan (Ed.) Handbook of Quantitative Methodology for the Social Sciences (pp. 49-70). Thousand Oaks, CA: Sage Publications, Inc.
  • Van der Kooij, A.J. and Meulman, J.J. (2001). Algorithm Document CATPCA. Chicago: SPSS Inc.
  • Van der Kooij, A.J. (1996). Hierarchical GROUPALS: a simultaneous optimization method for hierarchical clustering using a minimum variance criterion under optimal scaling of the variables. Research Report RR-96-07, Department of Data Theory, Leiden University; (36 pp.).
  • Van der Kooij, A.J. and Meulman, J.J. (2001). Algorithm Document CATREG. Chicago: SPSS Inc.
  • Meulman J.J., van der Kooij A.J., and Babinec A. (2000). New Features of Categorical Principal Components Analysis for Complicated Data Sets, Including Data Mining. In W. Gaul and G. Ritter (Eds.) Classification, Automation and New Media (pp. 207-217). Berlin,Germay: Springer.
  • Van der Kooij, A.J. and Meulman, J.J. (1999). Categorical Principal Components Analysis. In J.J. Meulman, W.J. Heiser, and SPSS Inc. (Eds.), SPPS Categories 10.0. (pp. 1-9, 103-126, 221-237). Chicago: SPSS Inc.
  • Van der Kooij, A.J. and Meulman, J.J. (1999). Regression with Optimal Scaling. In J.J. Meulman, W.J. Heiser, and SPSS Inc. (Eds.), SPPS Categories 10.0. (pp. 1-8, 77-101, 239-246). Chicago: SPSS Inc.
  • Van der Kooij, A.J. and Meulman, J.J. (1999). Correspondence Analysis. In J.J. Meulman, W.J. Heiser, and SPSS Inc. (Eds.), SPPS Categories 10.0. (pp. 1-10, 147-178, 247-258). Chicago: SPSS Inc.
  • Van der Kooij, A.J. and Meulman, J.J. (1998). Algorithm Document CORRESPONDENCE. Chicago: SPSS Inc.
  • Van der Kooij A.J. and Meulman J.J. (1997) MURALS: Multiple regression and optimal scoring using alternating least squares. In W. Bandilla and F. Faulbaum (Eds.), SosftStat '97 Advances in Statistical Software 6 (pp 99-106). Stuttgart, Germany: Lucius & Lucius.

Last Modified: 31-01-2013