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Department Faculty

Paul De Boeck

Paul De Boeck has a Ph.D. degree from the KU Leuven in Belgium (Flanders), where he also has spent most of his career. From 2009 to 2012, he was affiliated with the University of Amsterdam. He is a former president of the Psychometric Society (2008) and was the first editor of the Applied Research and Case Studies section of Psychometrika.

He is interested in individual differences in various domains, and in quantitative approaches in general.

His early quantitative work concerns primarily classification models based on disjunctive and conjunctive rules (HICLAS), while his more recent work concerns model development and applications in the domain of item response theory (IRT) and logistic mixed models. Within IRT he focuses on explanatory models and explanatory measurement, and recently also on IRTree models for decision making and cognitive processes.

Selected Publications

For a list of most publications since 2000, go to http://ppw.kuleuven.be/okp/people/Paul_De_Boeck/, from where you can also download the papers.


De Boeck, P. (2008). Random item IRT models. Psychometrika, 73, 533-559

De Boeck, P., Bakker, M., Zwitser, R., Nivard, M., Hofman, A., Tuerlinckx, F., & Partchev, I. (2011). The estimation of item response models with the lmer function from the lme4 package in R. Journal of Statistical Software, 39, 1-28.

De Boeck, P., & Partchev, I. (2012). IRTrees: Tree-based item response models of the GLMM family. Journal of Statistical Software, 48, 1-28.

De Boeck, P., & Wilson, M. (Eds.). (2004). Explanatory item response models: A generalized linear and nonlinear approach. New York: Springer.

De Boeck, P., Wilson, M., & Acton, G. S. (2005). A conceptual and psychometric framework for distinguishing categories and dimensions. Psychological Review, 112, 129-158.

Germeijs, V., & De Boeck, P. (2002). A measurement scale for indecisiveness and its relationship to career indecision and other types of indecision. European Journal of Psychological Assessment, 18, 113-122.

Partchev, I., & De Boeck, P. (2012). Can fast and slow intelligence be differentiated? Intelligence, 40, 23-32.

González, J., De Boeck, P., & Tuerlinckx, F. (2008). A double-structure structural equation model for three-mode data. Psychological Methods, 13, 337-353.

Janssen, R., Tuerlinckx, F., Meulders, M., & De Boeck, P. (2000). A hierarchical IRT model for criterion-referenced measurement. Journal of Educational and Behavioral Statistics, 25, 285-306.

Rijmen, F., Tuerlinckx, F., De Boeck, P., & Kuppens, P. (2003). A nonlinear mixed model framework for item response theory. Psychological Methods, 8, 185-205.

Smits, D. J. M., & De Boeck, P. (2003). A componential IRT model for guilt. Multivariate Behavioral Research, 38, 161-188.

Smits, D. J. M., & De Boeck, P. (2007). From anger to verbal aggression: Inhibition at different levels. Personality and Individual Differences, 43, 47-57.

Storms, G., De Boeck, P., & Ruts, W. (2000). Prototype and exemplar-based information in natural language categories. Journal of Memory and Language, 42, 51-73.

Tuerlinckx, F., & De Boeck, P. (2005). Two interpretations of the discrimination parameter. Psychometrika, 70, 629-650.

Van den Noortgate, W., De Boeck, P., & Meulders, M. (2003). Cross-classification multilevel logistic models in psychometrics. Journal of Educational and Behavioral Statistics, 28, 369-386.

Van Mechelen, I., Bock, H.-H., & De Boeck, P. (2004). Two-mode clustering methods: A structured overview. Statistical Methods in Medical Research, 13, 363-394



Address

232 Lazenby Hall
1827 Neil Avenue
Columbus, OH 43210
(614) 292-4131
deboeck.2@osu.edu