Paul De Boeck

Contact information

Paul De Boeck
Tiensestraat 102
3000 Leuven


Phone: (+32) 16 325980
Fax: (+32) 16 325993

 

Research interests

• Bayesian statistics
• Componential psychometrics
• Formal models for personality
• Hierarchical classes (HICLAS) and probability matrix decomposition models
• Educational measurement
• Empirical study of the arts

Publications

Group by: Type / Year & Type

International journal articles

• Balázs, K., Hidegkuti, I., & De Boeck, P. (2006). Detecting heterogeneity in logistic regression models. Applied Psychological Measurement, 30, 322-344. doi:10.1177/0146621605286315
• Braeken, J., Tuerlinckx, F., & De Boeck, P. (2007). Copula functions for residual dependency. Psychometrika, 72, 393-411. doi:10.1007/s11336-007-9005-4
• Cho, S.-J., Partchev, I., & De Boeck, P. (in press). Parameter estimation of multiple item response profiles model. British Journal of Mathematical and Statistical Psychology.
• De Boeck, P. (1999). Two factors of preference certainty in the process of choosing an educational program. European Review of Applied Psychology, 49, 23-28.
• De Boeck, P. (2008). Random item IRT models. Psychometrika, 73, 533-559. doi:10.1007/s11336-008-9092-x
• 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., Cho, S.-J., & Wilson, M. (in press). Explanatory secondary dimension modelling of latent DIF. Applied Psychological Measurement.
• De Boeck, P., Wilson, M., & Acton, S. (2005). A conceptual and psychometric framework for distinguishing categories and dimensions. Psychological Review, 112, 129-158. doi:10.1037/0033-295X.112.1.129
• de Bonis, M., De Boeck, P., Perez-Diaz, F., & Nahas, M. (1999). A two-process theory of facial perception of emotions. Life Sciences, 322, 669-675.
• del Pino, G., San Martín, E., González, J., & De Boeck, P. (2008). On the relationships between sum score based estimation and joint maximum likelihood estimation. Psychometrika, 73, 145-151. doi:10.1007/s11336-007-9023-2
• De Wilde, E., Van Overberghe, V., Storms, G., & De Boeck, P. (2003). The instantiation principle re-evaluated. Memory, 11, 533-548. doi:10.1080/09658210244000126
• Facon, B., Magis, D., Nuchadee, M.-L., & De Boeck, P. (2011). Do Raven's Colored Progressive Matrices function in the same way in typical and clinical populations? Insights from the intellectual disability field. Intelligence, 39, 281-291. doi:10.1016/j.intell.2011.04.002
• Fontaine, J. R. J., Luyten, P., De Boeck, P., & Corveleyn, J. (2001). The test of self-conscious affect: Internal structure, differential scales, and relationships with long-term affects. European Journal of Personality, 15, 449-463. doi:10.1002/per.428
• Fontaine, J. R. J., Luyten, P., De Boeck, P., Corveleyn, J., Fernandez, M., Herrera, D., Ittzés, A., & Tomcsányi, T. (2006). Untying the Gordian knot of guilt and shame: The structure of guilt and shame reactions based on situation and person variation in Belgium, Hungary, and Peru. Journal of Cross-Cultural Psychology, 37, 273-292. doi:10.1177/0022022105284493
• Frederickx, S., Tuerlinckx, F., De Boeck, P., & Magis, D. (2010). RIM: A random item mixture model to detect Differential Item Functioning. Journal of Educational Measurement, 47, 432-457. doi:10.1111/j.1745-3984.2010.00122.x
• Gelman, A., Leenen, I., Van Mechelen, I., De Boeck, P., & Poblome, J. (2010). Bridges between deterministic and probabilistic models for binary data. Statistical Methodology, 7, 187-209. doi:10.1016/j.stamet.2009.08.005
• 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. doi:10.1027//1015-5759.18.2.113
• Germeijs, V., & De Boeck, P. (2003). Career indecision: Three factors from decision theory. Journal of Vocational Behavior, 62, 11-25. doi:10.1016/S0001-8791(02)00055-6
• Goegebeur, Y., De Boeck, P., & Molenberghs, G. (2010). Person fit for test speededness: normal curvatures, likelihood ratio tests and empirical Bayes estimates. Methodology: European journal of research methods for the behavioral and social sciences, 6, 3-16. doi:10.1027/1614-2241/a000002
• Goegebeur, Y., De Boeck, P., Molenberghs, G., & del Pino, G. (2006). A local-influence-based diagnostic approach to a speeded item response theory model. Journal of the Royal Statistical Society, Series C (Applied Statistics), 55, 647-676. doi:10.1111/j.1467-9876.2006.00558.x
• Goegebeur, Y., De Boeck, P., Wollack, J. A., & Cohen, A. S. (2008). A speeded item response model with gradual process change. Psychometrika, 73, 65-87. doi:10.1007/s11336-007-9031-2
• González, J., De Boeck, P., & Tuerlinckx, F. (2008). A double-structure structural equation model for three-mode data. Psychological Methods, 13, 337-353. doi:10.1037/a0013269
• González, J., Tuerlinckx, F., & De Boeck, P. (2009). Analyzing structural relations in multivariate dyadic binary data. Applied Multivariate Research, 13, 77-92.
• González, J., Tuerlinckx, F., De Boeck, P., & Cools, R. (2006). Numerical integration in logistic-normal models. Computational Statistics & Data Analysis, 51, 1535-1548. doi:10.1016/j.csda.2006.05.003
• Hidegkuti, I., & De Boeck, P. (2007). Between-group differences and taxometrics. Psychological Reports, 100, 211-230. doi:10.2466/PR0.100.1.211-230
• Hoskens, M., & De Boeck, P. (2001). Multidimensional componential item response theory models for polytomous items. Applied Psychological Measurement, 25, 19-37. doi:10.1177/01466216010251002
• Ip, E. H., Smits, D. J. M., & De Boeck, P. (2009). Locally dependent linear logistic test model with person covariates. Applied Psychological Measurement, 33, 555-567. doi:10.1177/0146621608326424
• Ip, E. H., Wang, Y. J., De Boeck, P., & Meulders, M. (2004). Locally dependent latent trait models for polytomous responses with application to inventory of hostility. Psychometrika, 69, 191-216. doi:10.1007/BF02295940
• Janssen, R., & De Boeck, P. (1999). Confirmatory analyses of componential test structure using multidimensional item response theory. Multivariate Behavioral Research, 34, 245-268. doi:10.1207/S15327906Mb340205
• Janssen, R., & De Boeck, P. (2000). Exploring the posterior of a hierarchical IRT model for item effects. Computational Statistics, 15, 421-442.
• Janssen, R., De Boeck, P., Viaene, M., & Vallaeys, L. (1999). Simple mental addition in children with and without mild mental retardation. Journal of Experimental Child Psychology, 74, 261-281. doi:10.1006/jecp.1999.2527
• 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. doi:10.3102/10769986025003285
• Kahraman, N., De Boeck, P., & Janssen, R. (2009). Modeling DIF in complex response data using test design strategies. International Journal of Testing, 9, 151-166. doi:10.1080/15305050902880744
• Kuppens, P., Van Mechelen, I., Smits, D. J. M., & De Boeck, P. (2003). The appraisal basis of anger: Specificity, necessity and sufficiency of components. Emotion, 3, 254-269. doi:10.1037/1528-3542.3.3.254
• Kuppens, P., Van Mechelen, I., Smits, D. J. M., & De Boeck, P. (2004). Associations between emotions: Correspondence across different data types and componential basis. European Journal of Personality, 18, 159-176. doi:10.1002/per.507
• 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., Van Mechelen, I., & De Boeck, P. (1999). A generic disjunctive/conjunctive decomposition model for n ary relations. Journal of Mathematical Psychology, 43, 102-122. doi:10.1006/jmps.1998.1226
• Leenen, I., Van Mechelen, I., & De Boeck, P. (2001). Models for ordinal hierarchical classes analysis. Psychometrika, 66, 389-404. doi:10.1007/BF02294441
• Leenen, I., Van Mechelen, I., De Boeck, P., & Rosenberg, S. (1999). INDCLAS: A three-way hierarchical classes model. Psychometrika, 64, 9-24. doi:10.1007/BF02294316
• Magis, D., Béland, S., Tuerlinckx, F., & De Boeck, P. (2010). A general framework and an R package for the detection of dichotomous differential item functioning. Behavior Research Methods, 42, 847-862. doi:10.3758/BRM.42.3.847
• Magis, D., & De Boeck, P. (2011). Identification of differential item functioning in multiple-group settings: A multivariate outlier detection approach. Multivariate Behavioral Research, 46, 733-755.
• Magis, D., & De Boeck, P. (in press). A robust outlier approach to prevent Type I error inflation in DIF. Educational and Psychological Measurement.
• Meulders, M., De Boeck, P., Kuppens, P., & Van Mechelen, I. (2002). Constrained latent class analysis of three-way three-mode data. Journal of Classification, 19, 277-302. doi:10.1007/s00357-001-0046-6
• Meulders, M., De Boeck, P., & Van Mechelen, I. (2001). Probability matrix decomposition models and main-effects generalized linear models for the analysis of replicated binary associations. Computational Statistics & Data Analysis, 38, 217-233. doi:10.1016/S0167-9473(01)00029-9
• Meulders, M., De Boeck, P., & Van Mechelen, I. (2003). A taxonomy of latent structure assumptions for probability matrix decomposition models. Psychometrika, 68, 61-77. doi:10.1007/BF02296653
• Meulders, M., De Boeck, P., Van Mechelen, I., & Gelman, A. (2005). Probabilistic feature analysis of facial perception of emotions. Journal of the Royal Statistical Society, Series C (Applied Statistics), 54, 781-793. doi:10.1111/j.1467-9876.2005.00515.x
• Meulders, M., De Boeck, P., Van Mechelen, I., Gelman, A., & Maris, E. (2001). Bayesian inference with probability matrix decomposition models. Journal of Educational and Behavioral Statistics, 26, 153-179. doi:10.3102/10769986026002153
• Meulders, M., Ip, E. H., & De Boeck, P. (2005). Latent variable models for partially ordered responses and trajectory analysis of anger-related feelings. British Journal of Mathematical & Statistical Psychology, 58, 117-143. doi:10.1348/000711005X38555
• Partchev, I., & De Boeck, P. (2012). Can fast and slow intelligence be differentiated? Intelligence, 40, 23-32.
• Partchev, I., De Boeck, P., & Steyer, R. (in press). How much power and speed is measured in this test? Assessment. doi:10.1177/1073191111411658
• Rijmen, F., & De Boeck, P. (2001). Propositional reasoning: The differential contribution of 'rules' to the difficulty of complex reasoning problems. Memory & Cognition, 29, 165-175.
• Rijmen, F., & De Boeck, P. (2002). The random weights linear logistic test model. Applied Psychological Measurement, 26, 271-285. doi:10.1177/0146621602026003003
• Rijmen, F., & De Boeck, P. (2003). A latent class model for individual differences in the interpretation of conditionals. Psychological Research, 67, 219-231. doi:10.1007/s00426-002-0092-7
• Rijmen, F., & De Boeck, P. (2005). A relation between a between-item multidimensional IRT model and the mixture-Rasch model. Psychometrika, 70, 481-496. doi:10.1007/s11336-002-1007-7
• Rijmen, F., De Boeck, P., & van der Maas, H. L. J. (2005). An IRT model with a parameter-driven process for change. Psychometrika, 70, 651-669. doi:10.1007/s11336-002-1047-z
• Rijmen, F., Tuerlinckx, F., De Boeck, P., & Kuppens, P. (2003). A nonlinear mixed model framework for item response theory. Psychological Methods, 8, 185-205. doi:10.1037/1082-989X.8.2.185
• Rijmen, F., Vansteelandt, K., & De Boeck, P. (2008). Latent class models for diary method data: Parameter estimation by local computations. Psychometrika, 73, 167-182. doi:10.1007/s11336-007-9001-8
• San Martín, E., del Pino, G., & De Boeck, P. (2006). IRT models for ability-based guessing. Applied Psychological Measurement, 30, 183-203. doi:10.1177/0146621605282773
• Smits, D. J. M., & De Boeck, P. (2003). A componential IRT model for guilt. Multivariate Behavioral Research, 38, 161-188. doi:10.1207/S15327906MBR3802_2
• Smits, D. J. M., & De Boeck, P. (2006). From BIS/BAS to the Big Five. European Journal of Personality, 20, 255-270. doi:10.1002/per.583
• Smits, D. J. M., & De Boeck, P. (2007). From anger to verbal aggression: inhibition at different levels. Personality and Individual Differences, 43, 47-57. doi:10.1016/j.paid.2006.11.006
• Smits, D. J. M., De Boeck, P., & Hoskens, M. (2003). Examining the structure of concepts: Using interactions between items. Applied Psychological Measurement, 27, 415-439. doi:10.1177/0146621603259277
• Smits, D. J. M., De Boeck, P., Kuppens, P., & Van Mechelen, I. (2002). The structure of negative emotion scales: Generalization over contexts and comprehensiveness. European Journal of Personality, 16, 127-141. doi:10.1002/per.436
• Smits, D. J. M., De Boeck, P., & Vansteelandt, K. (2004). The inhibition of verbally aggressive behavior. European Journal of Personality, 18, 537-555. doi:10.1002/per.529
• Smits, D. J. M., De Boeck, P., & Verhelst, N. (2003). Estimation of the MIRID: A program and a SAS based approach. Behavior Research Methods, Instruments, & Computers, 35, 537-549.
• Smits, T., Storms, G., Rosseel, Y., & De Boeck, P. (2002). Fruits and vegetables categorized: An application of the generalized context model. Psychonomic Bulletin & Review, 9, 836-844.
• Storms, G., De Boeck, P., Hampton, J. A., & Van Mechelen, I. (1999). Predicting conjunctive typicalities by component typicalities. Psychonomic Bulletin & Review, 6, 677-684.
• 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. doi:10.1006/jmla.1999.2669
• Storms, G., De Boeck, P., & Ruts, W. (2001). Categorization of novel stimuli in well-known natural concepts: a case study. Psychonomic Bulletin & Review, 8, 377-384.
• Storms, G., De Boeck, P., Van Mechelen, I., & Ruts, W. (1998). Not guppies, nor goldfish, but tumble dryers, Noriega, Jesse Jackson, panties, car crashes, bird books, and Stevie Wonder. Memory and Cognition, 26, 143-145.
• Tibaldi, F., Verbeke, G., Molenberghs, G., Renard, D., Van den Noortgate, W., & De Boeck, P. (2007). Conditional mixed models with crossed random effects. British Journal of Mathematical & Statistical Psychology, 60, 351-365. doi:10.1348/000711006X110562
• Tuerlinckx, F., & De Boeck, P. (1998). Modeling local item dependencies in item response theory. Psychologica Belgica, 38, 61-82.
• Tuerlinckx, F., & De Boeck, P. (1999). Distinguishing constant and dimension-dependent interaction: A simulation study. Applied Psychological Measurement, 23, 299-307. doi:10.1177/01466219922031419
• Tuerlinckx, F., & De Boeck, P. (2001). Non-modeled item interactions lead to distorted discrimination parameters: A case study. Methods of Psychological Research - Online, 6, 159-174.
• Tuerlinckx, F., & De Boeck, P. (2001). The effect of ignoring item interactions on the estimated discrimination parameters in item response theory. Psychological Methods, 6, 181-195. doi:10.1037/1082-989X.6.2.181
• Tuerlinckx, F., & De Boeck, P. (2005). Two interpretations of the discrimination parameter. Psychometrika, 70, 629-650. doi:10.1007/s11336-000-0810-3
• Tuerlinckx, F., De Boeck, P., & Lens, W. (2002). Measuring needs with the Thematic Apperception Test: A psychometric study. Journal of Personality and Social Psychology, 82, 448-461. doi:10.1037/0022-3514.82.3.448
• Tuerlinckx, F., Maris, E., Ratcliff, R., & De Boeck, P. (2001). A comparison of four methods for simulating the diffusion process. Behavior Research Methods, Instruments, & Computers, 33, 443-456.
• Tuerlinckx, F., Rijmen, F., Verbeke, G., & De Boeck, P. (2006). Statistical inference in generalized linear mixed models: A review. British Journal of Mathematical & Statistical Psychology, 59, 225-255. doi:10.1348/000711005X79857
• Van den Noortgate, W., & De Boeck, P. (2005). Assessing and explaining differential item functioning using logistic mixed models. Journal of Educational and Behavioral Statistics, 30, 443-464. doi:10.3102/10769986030004443
• 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. doi:10.3102/10769986028004369
• Van Mechelen, I., Bock, H.-H., & De Boeck, P. (2004). Two-mode clustering methods: A structural overview. Statistical Methods in Medical Research, 13, 363-394. doi:10.1191/0962280204sm373ra
• Verguts, T., & De Boeck, P. (2000). A note on the Martin-Löf test for unidimensionality. Methods of Psychological Research - Online, 5, 77-82.
• Verguts, T., & De Boeck, P. (2000). A Rasch model for detecting learning while solving an intelligence test. Applied Psychological Measurement, 24, 151-162. doi:10.1177/01466210022031589
• Verguts, T., & De Boeck, P. (2001). Some Mantel-Haenszel tests of Rasch model assumptions. British Journal of Mathematical & Statistical Psychology, 54, 21-37. doi:10.1348/000711001159401
• Verguts, T., & De Boeck, P. (2002). On the correlation between working memory capacity and performance on intelligence tests. Learning and Individual Differences, 13, 37-55. doi:10.1016/S1041-6080(02)00049-3
• Verguts, T., & De Boeck, P. (2002). The induction of solution rules in Raven’s Progressive Matrices test. European Journal of Cognitive Psychology, 14, 521-547. doi:10.1080/09541440143000230
• Verguts, T., De Boeck, P., & Maris, E. (1999). Generation speed in Raven’s Progressive Matrices Test. Intelligence, 27, 329-345. doi:10.1016/S0160-2896(99)00023-9
• Verguts, T., Maris, E., & De Boeck, P. (2002). A dynamic model for rule induction tasks. Journal of Mathematical Psychology, 46, 55-485. doi:10.1006/jmps.2001.1400

Editor of book

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

Chapters in books

• De Boeck, P., & Smits, D. J. M. (2006). A double-structure structural equation model for the study of emotions and their components. In Q. Jing, M. R. Rosenzweig, G. d'Ydewalle, H. Zhang, H. Chen, & K. Zhang (Eds.), Progress in psychological science around the world. Vol. 1: Neural, cognitive and developmental issues (pp. 349-365). Hove, East Sussex: Psychology Press.
• De Boeck, P., & Wilson, M. (2004). A framework for item response models. In P. De Boeck & M. Wilson (Eds.), Explanatory item response models: A generalized linear and nonlinear approach (pp. 3-41). New York: Springer.
• Meulders, M., De Boeck, P., & Van Mechelen, I. (2002). Rater classification on the basis of latent features in responding to situations. In W. Gaul & G. Ritter (Eds.), Classification, automation, and new media (pp. 453-461). Berlin: Springer.
• Meulders, M., Gelman, A., Van Mechelen, I., & De Boeck, P. (1998). Generalizing the probabibility matrix decomposition model: An example of Bayesian model checking and model expansion. In J. Hox (Ed.), Assumptions, robustness, and estimation methods in multivariate modeling (pp. 1-19). Amsterdam: TT-publikaties.
• Tuerlinckx, F., & De Boeck, P. (2004). Models for residual dependencies. In P. De Boeck & M. Wilson (Eds.), Explanatory item response models: A generalized linear and nonlinear approach (pp. 289-316). New York: Springer.
• Tuerlinckx, F., Rijmen, F., Molenberghs, G., Verbeke, G., Briggs, D., Van den Noortgate, W., Meulders, M., & De Boeck, P. (2004). Estimation and software. In P. De Boeck & M. Wilson (Eds.), Explanatory item response models: A generalized linear and nonlinear approach (pp. 343-373). New York: Springer.
• Van Mechelen, I., Bock, H.-H., & De Boeck, P. (2005). Two-mode clustering methods. In B. Everitt & D. Howell (Eds.), Encyclopedia of behavioral statistics (pp. 2081-2086). Chichester: Wiley.
• Wilson, M., & De Boeck, P. (2004). Descriptive and explanatory item response models. In P. De Boeck & M. Wilson (Eds.), Explanatory item response models: A generalized linear and nonlinear approach (pp. 43-74). New York: Springer.