Eva Ceulemans

Contact information

Research interests

• Three-way modeling
• Hierarchical classes models (Hiclas)
• Model selection in multiway analysis
• Modelling of sequential processes and individual differences therein

Publications

Group by: Type / Year & Type

International journal articles

• Ceulemans, E., & Kiers, H. A. L. (2006). Selecting among three-mode principal component models of different types and complexities: A numerical convex hull based method. British Journal of Mathematical & Statistical Psychology, 59, 133-150. doi:10.1348/000711005X64817
• Ceulemans, E., & Kiers, H. A. L. (2009). Discriminating between strong and weak structures in three-mode principal component analysis. British Journal of Mathematical & Statistical Psychology, 62, 601-620. doi:10.1348/000711008X369474
• Ceulemans, E., Kuppens, P., & Van Mechelen, I. (in press). Capturing the structure of distinct types of individual differences in the situation-specific experience of emotions: The case of anger. European Journal of Personality.
• Ceulemans, E., & Storms, G. (2010). Detecting intra and inter categorical structure in semantic concepts using HICLAS. Acta Psychologica, 133, 296-304. doi:10.1016/j.actpsy.2009.11.011
• Ceulemans, E., Timmerman, M. E., & Kiers, H. A. L. (2011). The CHull procedure for selecting among multilevel component solutions. Chemometrics and Intelligent Laboratory Systems, 106, 12-20. doi:10.1016/j.chemolab.2010.08.001
• Ceulemans, E., & Van Mechelen, I. (2003). Uniqueness of N-way N-mode hierarchical classes models. Journal of Mathematical Psychology, 47, 259-264. doi:10.1016/S0022-2496(03)00002-6
• Ceulemans, E., & Van Mechelen, I. (2004). Tucker2 hierarchical classes analysis. Psychometrika, 69, 375-399. doi:10.1007/BF02295642
• Ceulemans, E., & Van Mechelen, I. (2005). Hierarchical classes models for three-way three-mode binary data: Interrelations and model selection. Psychometrika, 70, 461-480. doi:10.1007/s11336-003-1067-3
• Ceulemans, E., & Van Mechelen, I. (2008). CLASSI: A classification model for the study of sequential processes and individual differences therein. Psychometrika, 73, 107-124. doi:10.1007/s11336-007-9024-1
• Ceulemans, E., Van Mechelen, I., & Kuppens, P. (2004). Adapting the formal to the substantive: Constrained Tucker3-HICLAS. Journal of Classification, 21, 19-50. doi:10.1007/s00357-004-0004-1
• Ceulemans, E., Van Mechelen, I., & Leenen, I. (2003). Tucker3 hierarchical classes analysis. Psychometrika, 68, 413-433. doi:10.1007/BF02294735
• Ceulemans, E., Van Mechelen, I., & Leenen, I. (2007). The local minima problem in hierarchical classes analysis: An evaluation of a simulated annealing algorithm and various multistart procedures. Psychometrika, 72, 377-391. doi:10.1007/s11336-007-9000-9
• De Roover, K., Ceulemans, E., & Timmerman, M. E. (in press). How to perform multiblock component analysis in practice. Behavior Research Methods.
• De Roover, K., Ceulemans, E., Timmerman, M. E., & Onghena, P. (in press). A clusterwise simultaneous component method for capturing within-cluster differences in component variances and correlations. British Journal of Mathematical and Statistical Psychology.
• De Roover, K., Ceulemans, E., Timmerman, M. E., Vansteelandt, K., Stouten, J., & Onghena, P. (in press). Clusterwise simultaneous component analysis for analyzing structural differences in multivariate multiblock data. Psychological Methods.
• Kadengye, D. T., Cools, W., Ceulemans, E., & Van den Noortgate, W. (in press). Simple imputation methods versus direct likelihood analysis for missing item scores in multilevel educational data. Behavior Research Methods.
• Kuppens, P., Ceulemans, E., Timmerman, M. E., Diener, E., & Kim-Prieto, C. (2006). Universal intracultural and intercultural dimensions of the recalled frequency of emotional experience. Journal of Cross-Cultural Psychology, 37, 491-515. doi:10.1177/0022022106290474
• Kuppens, P., Van Mechelen, I., Smits, D. J. M., De Boeck, P., & Ceulemans, E. (2007). Individual differences in patterns of appraisal and anger experience. Cognition & Emotion, 21, 689-713. doi:10.1080/02699930600859219
• Leenen, I., & Ceulemans, E. (2009). Three-way hierarchical classes: A comparison of INDCLAS and Tucker3-HICLAS models. Applied Multivariate Research, 13, 43-76.
• Lust, G., Vandewaetere, M., Ceulemans, E., Elen, J., & Clarebout, G. (2011). Tool-use in a blended undergraduate course: In search of user profiles. Computers & Education, 57, 2135-2144. doi:10.1016/j.compedu.2011.05.010
• Realo, A., Koido, K., Ceulemans, E., & Allik, J. (2002). Three components of individualism. European Journal of Personality, 16, 163-184. doi:10.1002/per.437
• Schepers, J., Ceulemans, E., & Van Mechelen, I. (2008). Selecting among multi-mode partitioning models of different complexities: A comparison of four model selection criteria. Journal of Classification, 25, 67-85. doi:10.1007/s00357-008-9005-9
• Schepers, J., Van Mechelen, I., & Ceulemans, E. (2006). Three-mode partitioning. Computational Statistics & Data Analysis, 51, 1623-1642. doi:10.1016/j.csda.2006.06.002
• Schepers, J., Van Mechelen, I., & Ceulemans, E. (in press). The real-valued model of hierarchical classes. Journal of Classification.
• Stouten, J., Ceulemans, E., Timmerman, M. E., & Van Hiel, A. (2011). Tolerance of justice violations: The effects of need on emotional reactions after violating equality in social dilemmas. Journal of Applied Social Psychology, 41, 357-380. doi:10.1111/j.1559-1816.2010.00717.x
• Timmerman, M. E., Ceulemans, E., Kiers, H. A. L., & Vichi, M. (2010). Factorial and Reduced K-means reconsidered. Computational Statistics and Data Analysis, 54, 1858-1871. doi:10.1016/j.csda.2010.02.009
• Timmerman, M. E., Kiers, H. A. L., Smilde, A. K., Ceulemans, E., & Stouten, J. (2009). Bootstrap confidence intervals in multilevel simultaneous component analysis. British Journal of Mathematical & Statistical Psychology, 62, 299-318. doi:10.1348/000711007X265894
• Van Coillie, H., Van Mechelen, I., & Ceulemans, E. (2006). Multidimensional individual differences in anger-related behaviours. Personality and Individual Differences, 41, 27-38. doi:10.1016/j.paid.2006.01.007
• Vande Gaer, E., Ceulemans, E., Van Mechelen, I., & Kuppens, P. (2012). The CLASSI-N method for the study of sequential processes. Psychometrika, 77, 85-105. doi:10.1007/S11336-011-9235-3
• Van Mechelen, I., Lombardi, L., & Ceulemans, E. (2007). Hierarchical classes modeling of rating data. Psychometrika, 72, 475-488. doi:10.1007/s11336-007-9018-z
• Wilderjans, T. F., Ceulemans, E., Kiers, H. A. L., & Meers, K. (2009). The LMPCA program: A graphical user interface for fitting the linked-mode PARAFAC-PCA model to coupled real-valued data. Behavior Research Methods, 41, 1073-1082. doi:10.3758/BRM.41.4.1073
• Wilderjans, T. F., Ceulemans, E., & Kuppens, P. (in press). Clusterwise HICLAS: A generic modeling strategy to trace similarities and differences in multi-block binary data. Behavior Research Methods. doi:10.3758/s13428-011-0166-9
• Wilderjans, T. F., Ceulemans, E., & Van Mechelen, I. (2008). The CHIC model: A global model for coupled binary data. Psychometrika, 73, 729-751. doi:10.1007/s11336-008-9069-9
• Wilderjans, T. F., Ceulemans, E., & Van Mechelen, I. (2009). Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes. Computational Statistics and Data Analysis, 53, 1086-1098. doi:10.1016/j.csda.2008.09.031
• Wilderjans, T. F., Ceulemans, E., & Van Mechelen, I. (in press). The SIMCLAS model: Simultaneous analysis of coupled binary data matrices with noise heterogeneity between and within data blocks. Psychometrika.
• Wilderjans, T. F., Ceulemans, E., Van Mechelen, I., & Depril, D. (2011). ADPROCLUS: A graphical user interface for fitting additive profile clustering models to object by variable data matrices. Behavior Research Methods, 43, 56-65. doi:10.3758/s13428-010-0033-0
• Wilderjans, T. F., Ceulemans, E., Van Mechelen, I., & van den Berg, R. A. (2011). Simultaneous analysis of coupled data matrices subject to different amounts of noise. British Journal of Mathematical and Statistical Psychology, 64, 277-290. doi:10.1348/000711010X513263

Chapters in books

• Ceulemans, E., & Van Mechelen, I. (2003). An algorithm for HICLAS-R models. In M. Schader, W. Gaul, & M. Vichi (Eds.), Between data science and applied data analysis: Studies in classification, data analysis, and knowledge organization (pp. 173-181). Heidelberg: Springer.
• De Raad, B., & Ceulemans, E. (2001). The trait-dimensional scope of the characters of Theophrastus. In R. Riemann, F. M. Spinath, & F. Ostendorf (Eds.), Personality and temperament: Genetics, evolution, and structure (pp. 168-184). Lengerich, Germany: Pabst.
• Lombardi, L., Ceulemans, E., & Van Mechelen, I. (2003). A hierarchical classes approach to discriminant analysis. In M. Schader, W. Gaul, & M. Vichi (Eds.), Between data science and applied data analysis: Studies in classification, data analysis, and knowledge organization (pp. 296-304). Heidelberg: Springer.
• Timmerman, M. E., & Ceulemans, E. (2010). The generic subspace clustering model. In Y. Lechevallier & G. Saporta (Eds.), Proceedings of COMPSTAT'2010. 19th International Conference on Computational Statistics (pp. 359-366). Heidelberg: Physica-Verlag.
• Timmerman, M. E., Ceulemans, E., Lichtwarck-Aschoff, A., & Vansteelandt, K. (2009). Multilevel component analysis for studying intra-individual variability and inter-individual differences. In J. Valsiner, P. C. M. Molenaar, M. C. D. P. Lyra, & N. Chaudhary (Eds.), Dynamic process methodology in the social and developmental sciences (pp. 291-318). New York: Springer.

Software