Publications list of the research group since 1998

Group by: Type / Year & Type

In press

International journal articles

• Bastian, B., Kuppens, P., Park, J., Koval, P., & Uchida, Y. (in press). Feeling bad about being sad: The role of social expectancies in amplifying negative emotions. Emotion.
• 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.
• 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., Cho, S.-J., & Wilson, M. (in press). Explanatory secondary dimension modelling of latent DIF. Applied Psychological Measurement.
• Depril, D., Van Mechelen, I., & Wilderjans, T. F. (in press). Lowdimensional additive overlapping clustering. Journal of Classification.
• 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.
• Dutilh, G., Vandekerckhove, J., Forstmann, B. U., Keuleers, E., Brysbaert, M., & Wagenmakers, E.-J. (in press). Testing theories of post-error slowing. Attention, Perception, and Psychophysics.
• Haslam, N., Holland, E., & Kuppens, P. (in press). Categories versus dimensions in personality and psychopathology: A quantitative review of taxometric research. Psychological Medicine.
• Hofmans, J. (in press). Editorial: Applications of Functional Measurement in psychology. Psicologica.
• 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.
• Koval, P., & Kuppens, P. (in press). Changing emotion dynamics: Individual differences in the effect of anticipatory social stress on emotional inertia. Emotion.
• Kuppens, P., Sheeber, L. B., Yap, M. B. H., Whittle, S., Simmons, J. G., & Allen, N. B. (in press). Emotional inertia prospectively predicts the onset of depressive disorder in adolescence. Emotion.
• Magis, D., & De Boeck, P. (in press). A robust outlier approach to prevent Type I error inflation in DIF. Educational and Psychological Measurement.
• Magis, D., & Facon, B. (in press). Angoff's Delta method revisited: improving DIF detection under small samples. British Journal of Mathematical and Statistical Psychology. doi:10.1111/j.2044-8317.2011.02025.x
• Mairesse, O., Hofmans, J., Neu, D., de Oliveira, A., Cluydts, R., & Theuns, P. (in press). The algebra of sleepiness: Investigating the interaction of homeostatic (S) and circadian (C) processes in sleepiness using linear metrics. Psicologica.
• Mõttus, R., Allik, J., Realo, A., Pullmann, H., Rossier, J., Zecca, G., Ah-Kion, J., Amoussou-Yéyé, D., Bäckström, M., Barkauskiene, R., Barry, O., Bhowon, U., Björklund, F., Bochaver, A., Bochaver, K., de Bruin, D., Cabrera, H. F., Chen, S. X., Church, A. T., Cissé, D., Donatien Dahourou, D., Feng, X, Guan, Y., Hwang, H.-S., Idris, F., Katigbak, M. S., Kuppens, P., Kwiatkowska, A., Laurinavicius, A., Mastor, K. A., Matsumoto, D., Riemann, R., Schug, J., Simpson, B., & Tseung, C. N. (in press). Comparability of self-reported conscientiousness across 21 countries. European Journal of Personality. doi:10.1002/per.840
• Partchev, I., De Boeck, P., & Steyer, R. (in press). How much power and speed is measured in this test? Assessment. doi:10.1177/1073191111411658
• Schepers, J., & Van Mechelen, I. (in press). A two-mode clustering method to capture the nature of the dominant interaction pattern in large profile data matrices. Psychological Methods.
• Schepers, J., Van Mechelen, I., & Ceulemans, E. (in press). The real-valued model of hierarchical classes. Journal of Classification.
• Sheeber, L. B., Kuppens, P., Shortt, J. W., Fainsilber Katz, L., Davis, B., & Allen, N. B. (in press). Depression is associated with the escalation of adolescents' dysphoric behavior during interactions with parents. Emotion.
• Stouten, J., & Kuppens, P. (in press). Being angry for different reasons: The role of personality in distributive justice. Journal of Applied Social Psychology.
• Vanbrabant, K., Kuppens, P., Braeken, J., Demaerschalk, E., Boeren, A., & Tuerlinckx, F. (in press). A relationship between verbal aggression and personal network size. Social Networks.
• Vandekerckhove, J., & Tuerlinckx, F. (in press). MATLAB for behavioral scientists: A novice's guide to MATLAB. Experimental Psychology.
• Verduyn, P., & Brans, K. (in press). The relationship between extraversion, neuroticism and aspects of trait affect. Personality and Individual Differences. doi:10.1016/j.paid.2011.12.017
• Verduyn, P., Tuerlinckx, F., & Van Gorp, K. (in press). Measuring the duration of emotional experience: The influence of actual duration and response format. Quality & Quantity. doi:10.1007/s11135-012-9671-x
• Verduyn, P., Van Mechelen, I., & Frederix, E. (in press). Determinants of the shape of emotion intensity profiles. Cognition & Emotion.
• Vigo, D.E., Ogrinz, B., Wan, L., Bersenev, E., Tuerlinckx, F., van den Bergh, O., & Aubert, A. (in press). Sleep-wake differences in heart rate variability during a 105-day simulated mission to Mars. Aviation, Space and Environmental Medicine.
• 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. (in press). The SIMCLAS model: Simultaneous analysis of coupled binary data matrices with noise heterogeneity between and within data blocks. Psychometrika.
• Wilderjans, T. F., Depril, D., & Van Mechelen, I. (in press). Additive biclustering: A comparison of one new and two existing ALS algorithms. Journal of Classification.
• Wilderjans, T. F., Depril, D., & Van Mechelen, I. (in press). Block-relaxation approaches for fitting the INDCLUS model. Journal of Classification.

Chapter in book

• Van Mechelen, I., Verduyn, P., & Brans, K. (in press). The duration of emotional episodes. In D. Hermans, B. Rimé, & B. Mesquita (Eds.), Changing emotions. London: Psychology Press.

2012

International journal articles

• Efstratopoulou, M., Janssen, R., & Simons, J. (2012). Differentiating children with Attention-Deficit/Hyperactivity Disorder, Conduct Disorder, Learning Disabilities and Autistic Spectrum Disorders by means of their motor behavior characteristics. Research in Developmental Disabilities, 33, 196-204. doi:10.1016/j.ridd.2011.08.033
• Frederickx, S., & Van Mechelen, I. (2012). Identifying the situational triggers underlying avoidance of communication situations and individual differences therein. Personality and Individual Differences, 52, 438-443. doi:10.1016/j.paid.2011.11.004
• Magis, D., & Raîche, G. (2012). On the relationships between Jeffreys modal and weighted likelihood estimation of ability under logistic IRT models. Psychometrika, 77, 163-169. doi:10.1007/s11336-011-9233-5
• Partchev, I., & De Boeck, P. (2012). Can fast and slow intelligence be differentiated? Intelligence, 40, 23-32.
• 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

2011

International journal articles

• 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
• 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.
• 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
• Jackson, J., Kuppens, P., Sheeber, L. B., & Allen, N. B. (2011). Expression of anger in depressed adolescents: The role of the family environment. Journal of Abnormal Child Psychology, 39, 463-474. doi:10.1007/s10802-010-9473-3
• Janssen, R., & Crauwels, M. (2011). Content and student factors in mastering environmental studies - nature in primary education: Evidence from a national assessment in Flanders (Belgium). Journal of Biological Education, 45, 20-28. doi:10.1080/00219266.2011.537836
• Lodewyckx, T., Kim, W., Lee, M. D., Tuerlinckx, F., Kuppens, P., & Wagenmakers, E.-J. (2011). A tutorial on Bayes factor estimation with the product space method. Journal of Mathematical Psychology, 55, 331-347. doi:10.1016/j.jmp.2011.06.001
• Lodewyckx, T., Tuerlinckx, F., Kuppens, P., Allen, N. B., & Sheeber, L. (2011). A hierarchical state space approach to affective dynamics. Journal of Mathematical Psychology, 55, 68-83. doi:10.1016/j.jmp.2010.08.004
• Loughnan, S., Kuppens, P., Allik, J., Balázs, K., De Lemus, S., Dumont, K., Gargurevich, R., Hidegkuti, I., Leidner, B., Matos, L., Park, J., Realo, A., Shi, J., Sojo, V. E., Tong, Y., Vaes, J., Verduyn, P., Yeung, V., & Haslam, N. (2011). Economic inequality is linked to biased self-perception. Psychological Science, 22, 1254-1258. doi:10.1177/0956797611417003
• 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
• Magis, D., Béland, S., & Raîche, G. (2011). A test-length correction to the estimation of extreme proficiency levels. Applied Psychological Measurement, 35, 91-109. doi:10.1177/0146621610378289
• 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., & Raîche, G. (2011). catR: an R package for computerized adaptive testing. Applied Psychological Measurement, 35, 576-577. doi:10.1177/0146621611407482
• Magis, D., Raîche, G., Béland, S., & Gérard, P. (2011). A generalized logistic regression procedure to detect differential item functioning among multiple groups. International Journal of Testing, 11, 365-386. doi:10.1080/15305058.2011.602810
• Oravecz, Z., & Tuerlinckx, F. (2011). The linear mixed model and the hierarchical Ornstein-Uhlenbeck model: Some Equivalences and differences. British Journal of Mathematical and Statistical Psychology, 64, 134-160. doi:10.1348/000711010X498621
• Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J. (2011). A hierarchical latent stochastic differential equation model for affective dynamics. Psychological Methods, 16, 468-490. doi:10.1037/a0024375
• Petersen, S., van den Berg, R. A., Janssens, T., & van den Bergh, O. (2011). Illness and symptom perception: A theoretical approach towards an integrative measurement model. Clinical Psychology Review, 31, 428-439. doi:10.1016/j.cpr.2010.11.002
• 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
• Thorrez, L., Laudadio, I., Van Deun, K., Quintens, R., Hendrickx, N., Granvik, M., Lemaire, K., Schraenen, A., Van Lommel, L., Lehnert, S., Aguayo-Mazzucato, C., Cheng-Xue, R., Gilon, P., Van Mechelen, I., Bonner-Weir, S., Lemaigre, F., & Schuit, F. (2011). Tissue-specific disallowance of housekeeping genes: The other face of cell differentiation. Genome Research, 21, 95-105. doi:10.1101/gr.109173.110
• Vandekerckhove, J., Tuerlinckx, F., & Lee, M. D. (2011). Hierarchical diffusion models for two-choice response times. Psychological Methods, 16, 44-62. doi:10.1037/a0021765
• Van Deun, K., Wilderjans, T. F., van den Berg, R. A., Antoniadis, A., & Van Mechelen, I. (2011). A flexible framework for sparse simultaneous component based data integration. BMC Bioinformatics, 12, 448. doi:10.1186/1471-2105-12-448
• Van Mechelen, I., & Smilde, A. K. (2011). Comparability problems in the analysis of multiway data. Chemometrics and Intelligent Laboratory Systems, 106, 2-11. doi:10.1016/j.chemolab.2010.08.006
• Van Nijlen, D., & Janssen, R. (2011). Measuring mastery across grades: An application to spelling ability. Applied Measurement in Education, 24, 367-387. doi:10.1080/08957347.2011.607064
• Verduyn, P., Van Mechelen, I., & Tuerlinckx, F. (2011). The relation between event processing and the duration of emotional experience. Emotion, 11, 20-28. doi:10.1037/a0021239
• Wan, L., Ogrinz, B., Vigo, D., Bersenev, E., Tuerlinckx, F., van den Bergh, O., & Aubert, A. (2011). Cardiovascular autonomic adaptation to long-term confinement during a 105-day simulated Mars mission. Aviation, Space and Environmental Medicine, 82, 711-716. doi:10.3357/ASEM.2986.2011
• 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

2010

International journal articles

• Allik, J., Realo, A., Mõttus, R., Borkenau, P., Kuppens, P., & Hřebíčková, M. (2010). How people see others is different from how people see themselves: A replicable pattern across cultures. Journal of Personality and Social Psychology, 99, 870-882. doi:10.1037/a0020963
• Allik, J., Realo, A., Mõttus, R., & Kuppens, P. (2010). Generalizability of self-other agreement from one personality trait to another. Personality and Individual Differences, 48, 128-132. doi:10.1016/j.paid.2009.09.008
• 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
• Claes, L., Klonsky, D., Muehlenkamp, J., Kuppens, P., & Vandereycken, W. (2010). The affect-regulation function of non-suicidal self-injury in eating disordered patients: which affect-states are regulated? Comprehensive Psychiatry, 51, 386-392. doi:10.1016/j.comppsych.2009.09.001
• 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
• 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
• Kuppens, P. (2010). From appraisal to emotion. Emotion Review, 2, 157-158. doi:10.1177/1754073909355010
• Kuppens, P., Allen, N. B., & Sheeber, L. (2010). Emotional inertia and psychological maladjustment. Psychological Science, 21, 984-991. doi:10.1177/0956797610372634
• Kuppens, P., Oravecz, Z., & Tuerlinckx, F. (2010). Feelings change: Accounting for individual differences in the temporal dynamics of affect. Journal of Personality and Social Psychology, 99, 1042-1060. doi:10.1037/a0020962
• Kuppens, P., & Tong, E. M. W. (2010). An appraisal account of individual differences in emotional experiences. Social and Personality Psychology Compass, 4, 1138-1150. doi:10.1111/j.1751-9004.2010.00324.x
• 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., & Raîche, G. (2010). An iterative maximum a posteriori estimation of proficiency level to detect multiple local likelihood maxima. Applied Psychological Measurement, 34, 75-90. doi:10.1177/0146621609336540
• Schepers, J., & Van Mechelen, I. (2010). Uniqueness of real-valued hierarchical classes models. Journal of Mathematical Psychology, 54, 215-221. doi:10.1016/j.jmp.2009.12.006
• Stouten, J., & De Cremer, D. (2010). "Seeing is believing": the effects of facial expressions of emotion and verbal communication in social dilemmas. Journal of Behavioral Decision-Making, 23, 271-287. doi:10.1002/bdm.659
• 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
• Timmermans, T., Van Mechelen, I., & Kuppens, P. (2010). The relationship between individual differences in intraindividual variability in core affect and interpersonal behaviour. European Journal of Personality, 24, 623-638. doi:10.1002/per.756
• Vandekerckhove, J., Verheyen, S., & Tuerlinckx, F. (2010). A crossed random effects diffusion model for speeded semantic categorization decisions. Acta Psychologica, 133, 269-282. doi:10.1016/j.actpsy.2009.10.009
• van den Berg, R. A., Braaksma, M., van der Veen, D., van der Werf, M. J., Punt, P. J., van der Oost, J., & de Graaff, L. H. (2010). Identification of modules in Aspergillus niger by gene co-expression network analysis. Fungal Genetics and Biology, 47, 539-550. doi:10.1016/j.fgb.2010.03.005
• Van Mechelen, I., & Smilde, A. K. (2010). A generic linked-mode decomposition model for data fusion. Chemometrics and Intelligent Laboratory Systems, 104, 83-94. doi:10.1016/j.chemolab.2010.04.012

Chapter in book

• Janssen, R. (2010). Using a differential item functioning approach to investigate measurement invariance. In E. Davidov, P. Schmidt, & J. Billiet (Eds.), Cross-cultural analysis: methods and applications (pp. 415-432). London: Routledge.
• 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.
• Tuerlinckx, F. (2010). Weibull distribution. In N. Salkind (Ed.), Encyclopedia of Research Design. Thousand Oaks, CA: Sage.
• Van Mechelen, I., & Van Deun, K. (2010). Multiple nested reductions of single data modes as a tool to deal with large data sets. In Y. Lechevallier & G. Saporta (Eds.), Proceedings of COMPSTAT'2010. 19th International Conference on Computational Statistics (pp. 349-358). Heidelberg: Physica-Verlag.

2009

International journal articles

• Beck, I., Smits, D. J. M., Claes, L., Vandereycken, W., & Bijttebier, P. (2009). Psychometric evaluation of the behavioral inhibition/behavioral activation system scales and the sensitivity to punishment and sensitivity to reward questionnaire in a sample of eating disordered patients. Personality and Individual Differences, 47, 407-412. doi:10.1016/j.paid.2009.04.007
• Braeken, J., & Tuerlinckx, F. (2009). A mixed model framework for teratology studies. Biostatistics, 10, 744-755. doi:10.1093/biostatistics/kxp028
• Braeken, J., & Tuerlinckx, F. (2009). Investigating latent constructs with item response models: A MATLAB IRTm toolbox. Behavior Research Methods, 41, 1127-1137. doi:10.3758/BRM.41.4.1127
• 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
• Claes, L., Vertommen, S., Smits, D. J. M., & Bijttebier, P. (2009). Emotional reactivity and self-regulation in relation to personality disorders. Personality and Individual Differences, 47, 948-953. doi:10.1016/j.paid.2009.07.027
• De Smedt, B., Janssen, R., Bouwens, K., Verschaffel, L., Boets, B., & Ghesquière, P. (2009). Working memory and individual differences in mathematics achievement: A longitudinal study from first to second grade. Journal of Experimental Child Psychology, 103, 186-201. doi:10.1016/j.jecp.2009.01.004
• Dutilh, G., Vandekerckhove, J., Tuerlinckx, F., & Wagenmakers, E.-J. (2009). A diffusion model decomposition of the practice effect. Psychonomic Bulletin & Review, 16, 1026-1036. doi:10.3758/16.6.1026
• Frederickx, S., Kuppens, P., Tuerlinckx, F., & Van Mechelen, I. (2009). Desequens: An R-package for the variance decomposition of sequential processes. Behavior Research Methods, 41, 524-530. doi:10.3758/BRM.41.2.524
• González, J., Tuerlinckx, F., & De Boeck, P. (2009). Analyzing structural relations in multivariate dyadic binary data. Applied Multivariate Research, 13, 77-92.
• 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
• 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. (2009). The legacy of the person-situation debate for understanding variability in emotional experience. Journal of Research in Personality, 43, 255-256. doi:10.1016/j.jrp.2008.12.027
• Kuppens, P., Stouten, J., & Mesquita, B. (2009). Individual differences in emotion components and dynamics: Introduction to the Special Issue. Cognition and Emotion, 23, 1249-1258. doi:10.1080/02699930902985605
• Leenen, I., & Ceulemans, E. (2009). Three-way hierarchical classes: A comparison of INDCLAS and Tucker3-HICLAS models. Applied Multivariate Research, 13, 43-76.
• Meeus, J., Duriez, B., Vanbeselaere, N., Phalet, K., & Kuppens, P. (2009). Examining dispositional and situational effects on outgroup attitudes. European Journal of Personality, 23, 307-328. doi:10.1002/per.710
• Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J. (2009). A hierarchical Ornstein-Uhlenbeck model for continuous repeated measurement data. Psychometrika, 74, 395-418. doi:10.1007/s11336-008-9106-8
• San Martín, E., González, J., & Tuerlinckx, F. (2009). Identified parameters, parameters of interest, and their relationships. Measurement: Interdisciplinary Research and Perspective, 7, 97-105. doi:10.1080/15366360903117053
• Schepers, J., & Hofmans, J. (2009). TwoMP: A MATLAB graphical user interface for two-mode partitioning. Behavior Research Methods, 41, 507-514. doi:10.3758/BRM.41.2.507
• Smits, D. J. M., Vermote, R., Claes, L., & Vertommen, H. (2009). The inventory of personality organization-revised: Construction of an abridged version. European Journal of Psychological Assessment, 25, 223-230. doi:10.1027/1015-5759.25.4.223
• Stouten, J., De Cremer, D., & van Dijk, E. (2009). Behavioral (in)tolerance of equality violation in social dilemmas: When trust affects contribution decisions after violations of equality. Group Processes and Intergroup Relations, 12, 517-531. doi:10.1177/1368430209105048
• Stouten, J., & Tripp, T. (2009). Claiming more than equality: Should leaders ask for forgiveness? The Leadership Quarterly, 20, 287-298. doi:10.1016/j.leaqua.2009.03.002
• 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
• Timmermans, T., Van Mechelen, I., & Nezlek, J. B. (2009). Individual differences in core affect reactivity. Personality and Individual Differences, 47, 510-515. doi:10.1016/j.paid.2009.05.002
• Valdivieso, L., Schoutens, W., & Tuerlinckx, F. (2009). Maximum likelihood estimation in processes of Ornstein-Uhlenbeck type. Statistical Inference for Stochastic Processes, 12, 1-19. doi:10.1007/s11203-008-9021-8
• van den Berg, R. A., Rubingh, C. M., Westerhuis, J. A., van der Werf, M. J., & Smilde, A. K. (2009). Metabolomics data exploration guided by prior knowledge. Analytica Chimica Acta, 651, 173-181. doi:10.1016/j.aca.2009.08.029
• van den Berg, R. A., Van Mechelen, I., Wilderjans, T. F., Van Deun, K., Kiers, H. A. L., & Smilde, A. K. (2009). Integrating functional genomics data using maximum likelihood based simultaneous component analysis. BMC Bioinformatics, 10, 340. doi:10.1186/1471-2105-10-340
• Van Deun, K., Hoijtink, H., Thorrez, L., Van Lommel, L., Schuit, F., & Van Mechelen, I. (2009). Testing the hypothesis of tissue-selectivity: The Intersection-Union Test and a Bayesian approach. Bioinformatics, 25, 2588-2594. doi:10.1093/bioinformatics/btp439
• Van Deun, K., Smilde, A. K., van der Werf, M. J., Kiers, H. A. L., & Van Mechelen, I. (2009). A structured overview of simultaneous component based data integration. BMC Bioinformatics, 10, 246. doi:10.1186/1471-2105-10-246
• Van Mechelen, I. (2009). A royal road to understanding the mechanisms underlying person-in-context behavior. Journal of Research in Personality, 43, 179-186. doi:10.1016/j.jrp.2008.12.012
• Van Mechelen, I., & Hennes, K. (2009). The appraisal basis of anger occurrence and intensity revisited. Cognition & Emotion, 23, 1373-1388. doi:10.1080/02699930902958297
• Verduyn, P., Delvaux, E., Van Coillie, H., Tuerlinckx, F., & Van Mechelen, I. (2009). Predicting the duration of emotional experience: Two experience sampling studies. Emotion, 9, 83-91. doi:10.1037/a0014610
• Verduyn, P., Van Mechelen, I., Tuerlinckx, F., Meers, K., & Van Coillie, H. (2009). Intensity profiles of emotional experience over time. Cognition & Emotion, 23, 1427-1443. doi:10.1080/02699930902949031
• 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., & 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

Special issues

• Kuppens, P., Stouten, J., & Mesquita, B. (Eds.). (2009). Individual differences in emotion components and dynamics. [Special issue]. Cognition & Emotion, 23(7).

Chapter in book

• Chiarandini, M., & Goegebeur, Y. (2009). Mixed models for the analysis of optimization algorithms. In T. Bartz-Beielstein, M. Chiarandini, L. Paquete, & M. Preuss (Eds.), Empirical Methods for the Analysis of Optimization Algorithms. Berlin: Springer.
• Janssen, R. (2009). Modeling the effect of item designs within the Rasch model. In S. Embretson & J. Roberts (Eds.), New directions in psychological measurement with model-based approaches (pp. 227-245). Washington, DC: American Psychological Association.
• Kuppens, P. (2009). Towards understanding individual differences in emotional experience. In A. Przepiórka (Ed.), Closer to emotions III (pp. 73-88). Lublin: KUL.
• Kuppens, P. (2009). Blame. In D. Sander & K. R. Scherer (Eds.), Oxford companion to emotion and the affective sciences (pp. 226-227). Oxford: Oxford University Press.
• Kuppens, P. (2009). Irritation. In D. Sander & K. R. Scherer (Eds.), Oxford companion to emotion and the affective sciences (pp. 77-78). Oxford: Oxford University Press.
• Kuppens, P. (2009). Anger. In D. Sander & K. R. Scherer (Eds.), Oxford companion to emotion and the affective sciences (pp. 32-33). Oxford: Oxford University Press.
• 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.

2008

International journal articles

• Arsovska, J., & Verduyn, P. (2008). Globalization, conduct norms and 'culture conflict': Perceptions of violence and crime in an ethnic Albanian context. British Journal of Criminology, 48, 226-246. doi:10.1093/bjc/azm068
• 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
• De Boeck, P. (2008). Random item IRT models. Psychometrika, 73, 533-559. doi:10.1007/s11336-008-9092-x
• 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
• Depril, D., Van Mechelen, I., & Mirkin, B. G. (2008). Algorithms for additive clustering of rectangular data tables. Computational Statistics & Data Analysis, 52, 4923-4938. doi:10.1016/j.csda.2008.04.014
• 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
• Hofmans, J., Kuppens, P., & Allik, J. (2008). Is short in length short in content? An examination of the domain representation of the Ten Item Personality Inventory scales in Dutch Language. Personality and Individual Differences, 45, 750-755. doi:10.1016/j.paid.2008.08.004
• Kuppens, P. (2008). Individual differences in the relationship between pleasure and arousal. Journal of Research in Personality, 42, 1053-1059. doi:10.1016/j.jrp.2007.10.007
• Kuppens, P., Realo, A., & Diener, E. (2008). The role of positive and negative emotions in life satisfaction judgment across nations. Journal of Personality and Social Psychology, 95, 66-75. doi:10.1037/0022-3514.95.1.66
• Kuppens, P., Van Mechelen, I., & Rijmen, F. (2008). Towards disentangling sources of individual differences in appraisal and anger. Journal of Personality, 76, 969-1000. doi:10.1111/j.1467-6494.2008.00511.x
• Leenen, I., Van Mechelen, I., Gelman, A., & De Knop, S. (2008). Bayesian hierarchical classes analysis. Psychometrika, 73, 39-64. doi:10.1007/s11336-007-9038-8
• Moors, A., & Kuppens, P. (2008). Distinguishing between two types of musical emotions and reconsidering the role of appraisal. Behavioral and Brain Sciences, 31, 588-589. doi:10.1017/S0140525X08005438
• Nezlek, J. B., & Kuppens, P. (2008). Regulating positive and negative emotions in daily life. Journal of Personality, 76, 561-579. doi:10.1111/j.1467-6494.2008.00496.x
• Nezlek, J. B., Vansteelandt, K., Van Mechelen, I., & Kuppens, P. (2008). Appraisal-emotion relationships in daily life. Emotion, 8, 145-150. doi:10.1037/1528-3542.8.1.145
• 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
• Rijmen, F., & Vomlel, J. (2008). Assessing the performance of variational methods for mixed logistic regression models. Journal of Statistical Computation and Simulation, 78, 765-779. doi:10.1080/00949650701282507
• Rouder, J., Tuerlinckx, F., Speckman, P., Lu, J., & Gomez, P. (2008). A hierarchical approach for fitting curves to response time measurements. Psychonomic Bulletin & Review, 15, 1201-1208. doi:10.3758/PBR.15.6.1201
• 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
• Stouten, J. (2008). Challenging the leader or the follower: The influence of need for emotion and equality violations on emotional and retributive reactions in social dilemmas. Journal of Applied Social Psychology, 38, 1378-1394. doi:10.1111/j.1559-1816.2008.00352.x
• Thorrez, L., Van Deun, K., Tranchevent, L., Van Lommel, L., Engelen, K., Marchal, K., Moreau, Y., Van Mechelen, I., & Schuit, F. (2008). Using ribosomal protein genes as reference: A tale of caution. PLoS ONE, 3, e1854, 1-8. doi:10.1371/journal.pone.0001854
• Vandekerckhove, J., & Tuerlinckx, F. (2008). Diffusion model analysis with MATLAB: A DMAT primer. Behavior Research Methods, 40, 61-72. doi:10.3758/BRM.40.1.61
• Van Nijlen, D., & Janssen, R. (2008). Modeling judgments in the Angoff and contrasting-groups method of standard setting. Journal of Educational Measurement, 45, 45-63. doi:10.1111/j.1745-3984.2007.00051.x
• Vansteenkiste, M., Timmermans, T., Lens, W., Soenens, B., & Van den Broeck, A. (2008). Does extrinsic goal framing enhance extrinsic goal-oriented individuals’ learning and performance? An experimental test of the match perspective versus self-determination theory. Journal of Educational Psychology, 100, 387-397. doi:10.1037/0022-0663.100.2.387
• Wetzels, R., Vandekerckhove, J., Tuerlinckx, F., & Wagenmakers, E.-J. (2008). Bayesian parameter estimation in the Expectancy Valence model of the Iowa gambling task. Journal of Mathematical Psychology, 54, 14-27. doi:10.1016/j.jmp.2008.12.001
• 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

Chapter in book

• Vandekerckhove, J., Tuerlinckx, F., & Lee, M. D. (2008). A Bayesian approach to diffusion process models of decision-making. In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 1429-1434). Austin, TX: Cognitive Science Society.
• Van Dijk, E., De Cremer, D., Mulder, L., & Stouten, J. (2008). How do we react to feedback in social dilemmas? In A. Biel, D. Eek, T. Gärling, & M. Gustafsson (Eds.), New Issues and Paradigms in Research on Social Dilemmas (pp. 43-53). New York: Springer.

2007

International journal articles

• Braeken, J., Tuerlinckx, F., & De Boeck, P. (2007). Copula functions for residual dependency. Psychometrika, 72, 393-411. doi:10.1007/s11336-007-9005-4
• 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 Bie, T., Tranchevent, L. C., van Oeffelen, L. M., & Moreau, Y. (2007). Kernel-based data fusion for gene prioritization. Bioinformatics, 23, 125-132. doi:10.1093/bioinformatics/btm187
• Hidegkuti, I., & De Boeck, P. (2007). Between-group differences and taxometrics. Psychological Reports, 100, 211-230. doi:10.2466/PR0.100.1.211-230
• Kuppens, P., & Tuerlinckx, F. (2007). Personality traits predicting anger in self-, ambiguous-, and other-caused unpleasant situations. Personality and Individual Differences, 42, 1105-1115. doi:10.1016/j.paid.2006.09.011
• Kuppens, P., & Van Mechelen, I. (2007). Interactional appraisal models for the anger appraisals of threatened self-esteem, other-blame, and frustration. Cognition & Emotion, 21, 56-77. doi:10.1080/02699930600562193
• Kuppens, P., Van Mechelen, I., Nezlek, J. B., Dossche, D., & Timmermans, T. (2007). Individual differences in core affect variability and their relationship to personality and adjustment. Emotion, 7, 262-274. doi:10.1037/1528-3542.7.2.262
• 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
• 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
• Stouten, J., De Cremer, D., & Van Dijk, E. (2007). Managing equality in social dilemmas: Emotional and retributive implications. Social Justice Research, 20, 53-67. doi:10.1007/s11211-007-0032-1
• 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
• Vandekerckhove, J., & Tuerlinckx, F. (2007). Fitting the Ratcliff diffusion model to experimental data. Psychonomic Bulletin & Review, 14, 1011-1026. doi:10.3758/PBR.15.6.1229
• Van Deun, K., Heiser, W. J., & Delbeke, L. (2007). Multidimensional unfolding by nonmetric multidimensional scaling of Spearman distances in the extended permutation polytope. Multivariate Behavioral Research, 42, 103-132.
• Van Deun, K., Marchal, K., Heiser, W., Engelen, K., & Van Mechelen, I. (2007). Joint mapping of genes and conditions via multidimensional unfolding analysis. BMC Bioinformatics, 8, 181. doi:10.1186/1471-2105-8-181
• 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
• Van Mechelen, I., & Schepers, J. (2007). A unifying model involving a categorical and/or dimensional reduction for multimode data. Computational Statistics & Data Analysis, 52, 537-549. doi:10.1016/j.csda.2007.03.001

Chapter in book

• Bang-Jensen, J., Chiarandini, M., Goegebeur, Y., & Jørgensen, B. (2007). Mixed models for the analysis of local search components. In T. Stützle, M. Birattari, & H. Hoos (Eds.), Engineering stochastic local search algorithms: Designing, implementing and analyzing effective heuristics. (pp. 91-105). Berlin: Springer.

2006

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
• Bollaerts, K., Eilers, P. H. C., & Van Mechelen, I. (2006). Simple and multiple P-splines regression with shape constraints. British Journal of Mathematical & Statistical Psychology, 59, 451-469. doi:10.1348/000711005X84293
• 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
• De Bie, T., & Cristianini, N. (2006). Fast SDP relaxations of graph cut clustering, transduction, and other combinatorial problems. Journal of Machine Learning Research, 7, 1409-1436.
• De Bie, T., Cristianini, N., Demuth, J. P., & Hahn, M. W. (2006). CAFE: A computational tool for the study of gene family evolution. Bioinformatics, 22, 1269-1271. doi:10.1093/bioinformatics/btl097
• Demuth, J. P., De Bie, T., Stajich, J. E., Cristianini, N., & Hahn, M. W. (2006). The evolution of mammalian gene families. PLoS ONE, 1, e85, 1-10. doi:10.1371/journal.pone.0000085
• 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
• 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
• 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
• 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
• Lemmens, K., Dhollander, T., De Bie, T., Monsieurs, P., Engelen, K., Smets, B., Winderickx, J., De Moor, B., & Marchal, K. (2006). Inferring transcriptional modules from ChIP-chip, motif, and microarray data. Genome Biology, 7, R37, 1-14. doi:10.1186/gb-2006-7-5-r37
• Pieters, G., Vansteelandt, K., Claes, L., Probst, M., Van Mechelen, I., & Vandereycken, W. (2006). The usefulness of experience sampling in understanding the urge to move in anorexia nervosa. Acta Neuropsychiatrica, 18, 30-37. doi:10.1111/j.0924-2708.2006.00121.x
• 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
• 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
• 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
• Stouten, J., De Cremer, D., & Van Dijk, E. (2006). Violating equality in social dilemmas: Emotional and retributive reactions as a function of trust, attribution, and honesty. Personality and Social Psychology Bulletin, 32, 894-906. doi:10.1177/0146167206287538
• 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 Coillie, H., & Van Mechelen, I. (2006). A taxonomy of anger-related behaviors in young adults. Motivation and Emotion, 30, 57-74. doi:10.1007/s11031-006-9000-6
• Van Coillie, H., & Van Mechelen, I. (2006). Expected consequences of anger-related behaviours. European Journal of Personality, 20, 137-154. doi:10.1002/per.580
• 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
• Vansteelandt, K., & Van Mechelen, I. (2006). Individual differences in anger and sadness: In pursuit of active situational features and psychological processes. Journal of Personality, 74, 871-909. doi:10.1111/j.1467-6494.2006.00395.x

Chapter in book

• De Bie, T., & Cristianini, N. (2006). Semi-supervised learning using semi-definite programming. In O. Chapelle, B. Schoelkopf, & A. Zien (Eds.), Semi-supervised learning (pp. 113-130). Cambridge, Massachusetts: MIT Press.
• 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 Schutter, B., Schepers, J., & Van Mechelen, I. (2006). On algorithms for a binary-real (max,x) matrix approximation problem. In Proceedings of the 45th IEEE Conference on Decision & Control (pp. 5168-5173). San Diego: IEEE Control System Society.
• Pochet, N. L. M. M., Ojeda, F., De Smet, F., De Bie, T., Suykens, J. A. K., & De Moor, B. L. R. (2006). Kernel clustering for knowledge discovery in clinical microarray data analysis. In G. Camps-Valls, J. L. Rojo-Alvarez, & M. Martinez-Ramon (Eds.), Kernel methods in bioengineering, communications and image processing (pp. 65-93). Hershey, Pennsylvania: Idea Group Inc.
• Rijmen, F., Tuerlinckx, F., Meulders, M., Smits, D. J. M., & Balázs, K. (2006). Mixed model estimation methods for item response models. In E. V. Smith & R. M. Smith (Eds.), Rasch Measurement: Advanced and Specialized Applications. Chicago: University of Illinois.

2005

International journal articles

• 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
• 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
• Gelman, A., Van Mechelen, I., Verbeke, G., Heitjan, D. F., & Meulders, M. (2005). Multiple imputation for model checking: Completed-data plots with missing and latent data. Biometrics, 61, 74-85. doi:10.1111/j.0006-341X.2005.031010.x
• Kuppens, P. (2005). Interpersonal determinants of trait anger: Low agreeableness, perceived low social esteem, and the amplifying role of the importance attached to social relationships. Personality and Individual Differences, 38, 13-23. doi:10.1016/j.paid.2004.03.006
• Lombardi, L., & Van Mechelen, I. (2005). Conjunctive prediction of an ordinal criterion variable on the basis of binary predictors. Discrete Applied Mathematics, 147, 91-100. doi:10.1016/j.dam.2004.06.023
• 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., 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
• 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., Meulders, M., Smits, D. J. M., & Balázs, K. (2005). Mixed model estimation methods for the Rasch model. Journal of Applied Measurement, 6, 273-288.
• Smits, D. J. M., & Kuppens, P. (2005). The relations between anger, coping with anger, and aggression, and the BIS/BAS system. Personality and Individual Differences, 39, 783-793. doi:10.1016/j.paid.2005.02.023
• Tuerlinckx, F., & De Boeck, P. (2005). Two interpretations of the discrimination parameter. Psychometrika, 70, 629-650. doi:10.1007/s11336-000-0810-3
• 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 Deun, K., & Groenen, P. J. F. (2005). Majorization algorithms for inspecting circles, ellipses, squares, rectangles, and rhombi. Operations Research, 53, 957-967. doi:10.1287/opre.1050.0253
• Van Deun, K., Groenen, P. J. F., Heiser, W. J., Busing, F. M. T. A., & Delbeke, L. (2005). Interpreting degenerate solutions in unfolding by use of the vector model and the compensatory distance model. Psychometrika, 70, 45-69. doi:10.1007/s11336-002-1046-0
• Vansteelandt, K., Van Mechelen, I., & Nezlek, J. B. (2005). The co-occurrence of emotions in daily life: A multilevel approach. Journal of Research in Personality, 39, 325-335. doi:10.1016/j.jrp.2004.05.006
• Verschaffel, L., Janssens, S., & Janssen, R. (2005). The development of mathematical competence in Flemish preservice elementary school teachers. Teaching and Teacher Education, 21, 49-63. doi:10.1016/j.tate.2004.11.005

Chapter in book

• Depril, D., & Van Mechelen, I. (2005). One-mode additive clustering of multiway data. In J. Janssen & P. Lenca (Eds.), Applied stochastic models and data analysis (pp. 724-729). Brest, France: ENST Bretagne.
• 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.

2004

International journal articles

• Ceulemans, E., & Van Mechelen, I. (2004). Tucker2 hierarchical classes analysis. Psychometrika, 69, 375-399. doi:10.1007/BF02295642
• 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
• Claes, L., Van Mechelen, I., & Vertommen, H. (2004). Assessment of situation-behavior profiles and their guiding cognitive and affective processes: A case study from the domain of aggressive behaviors. European Journal of Psychological Assessment, 20, 216-226. doi:10.1027/1015-5759.20.4.216
• 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
• Kuppens, P., Van Mechelen, I., & Meulders, M. (2004). Every cloud has a silver lining: Interpersonal and individual differences determinants of anger-related behaviors. Personality and Social Psychology Bulletin, 30, 1550-1564. doi:10.1177/0146167204271176
• 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
• Leenen, I., & Van Mechelen, I. (2004). A conjunctive parallelogram model for pick any/n data. Psychometrika, 69, 401-420. doi:10.1007/BF02295643
• 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
• Tuerlinckx, F. (2004). A multivariate counting process with Weibull distributed first-arrival times. Journal of Mathematical Psychology, 48, 65-79. doi:10.1016/j.jmp.2003.12.001
• Tuerlinckx, F. (2004). The efficient computation of the cumulative distribution and probability density functions in the diffusion model. Behavior Research Methods, Instruments, & Computers, 6, 702-716.
• Tuerlinckx, F. (2004). The idiographic approach: Where do we come from and where do we go. Measurement: Interdisciplinary Research and Perspectives, 2, 240-243.
• 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
• Vansteelandt, K., Pieters, G., Vandereycken, W., Claes, L., Probst, M., & Van Mechelen, I. (2004). Hyperactivity in anorexia nervosa: A case study using experience sampling methodology. Eating Behaviors, 5, 67-74. doi:10.1016/S1471-0153(03)00062-X
• Vansteelandt, K., & Van Mechelen, I. (2004). The personality triad in balance: Multi-dimensional individual differences in situation-behavior profiles. Journal of Research in Personality, 38, 367-393. doi:10.1016/j.jrp.2003.08.001

Editor of book

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

Chapter in book

• 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.
• Janssen, R., Schepers, J., & Peres, D. (2004). Models with item group predictors. In P. De Boeck & M. Wilson (Eds.), Explanatory item response models: A generalized linear and nonlinear approach (pp. 189-212). New York: Springer.
• Meulders, M., & Xie, Y. (2004). Person-by-item predictors. In P. De Boeck & M. Wilson (Eds.), Explanatory item response models: A generalized linear and nonlinear approach (pp. 213-240). New York: Springer.
• Rijmen, F., & Briggs, D. (2004). Multidimensional person variance and latent item predictors. In P. De Boeck & M. Wilson (Eds.), Explanatory item response models: A generalized linear and nonlinear approach (pp. 247-265). New York: Springer.
• Smits, D. J. M., & Moore, S. (2004). Latent item predictors with fixed effects. In P. De Boeck & M. Wilson (Eds.), Explanatory item response models: A generalized linear and nonlinear approach (pp. 267-287). New York: Springer.
• 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.
• Tuerlinckx, F., & Wang, W. C. (2004). Models for polytomous data. In P. De Boeck & M. Wilson (Eds.), Explanatory item response models: A generalized linear and nonlinear approach (pp. 75-109). New York: Springer.
• Van den Noortgate, W., & Paek, I. (2004). Person regression models. In P. De Boeck & M. Wilson (Eds.), Explanatory item response models: A generalized linear and nonlinear approach (pp. 167-187). New York: Springer.
• 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.

2003

International journal articles

• Berkhof, J., Van Mechelen, I., & Gelman, A. (2003). A Bayesian approach to the selection and testing of mixture models. Statistica Sinica, 13, 423-442.
• 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., & Leenen, I. (2003). Tucker3 hierarchical classes analysis. Psychometrika, 68, 413-433. doi:10.1007/BF02294735
• 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
• 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
• 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
• 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
• Peeters, F., Nicolson, N. A., Berkhof, J., Delespaul, P., & deVries, M. (2003). Effects of daily events on mood states in major depressive disorder. Journal of Abnormal Psychology, 112, 203-211. doi:10.1037/0021-843X.112.2.203
• 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., 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
• 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., & 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., & Verhelst, N. (2003). Estimation of the MIRID: A program and a SAS based approach. Behavior Research Methods, Instruments, & Computers, 35, 537-549.
• 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
• Verguts, T., Storms, G., & Tuerlinckx, F. (2003). Decision bound theory and the influence of familiarity. Psychonomic Bulletin & Review, 10, 141-148.

Chapter in book

• 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.
• 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.

2002

International journal articles

• Gelman, A., Katz, J. N., & Tuerlinckx, F. (2002). The mathematics and statistics of voting power. Statistical Science, 17, 420-435. doi:10.1214/ss/1049993201
• 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
• Janssen, R., De Corte, E., Verschaffel, L., Knoors, E., & Colémont, A. (2002). National assessment of new standards for mathematics in elementary education in Flanders. Educational Research and Evaluation, 8, 197-225. doi:10.1076/edre.8.2.197.3859
• 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
• Ratcliff, R., & Tuerlinckx, F. (2002). Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability. Psychonomic Bulletin & Review, 9, 438-481.
• 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
• Rijmen, F., & De Boeck, P. (2002). The random weights linear logistic test model. Applied Psychological Measurement, 26, 271-285. doi:10.1177/0146621602026003003
• 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, 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.
• 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
• 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., 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
• Zautra, A. J., Berkhof, J., & Nicolson, N. A. (2002). Changes in affect interrelations as a function of stressful events. Cognition & Emotion, 16, 309-318. doi:10.1080/02699930143000257

Chapter in book

• 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.

2001

International journal articles

• Dewitte, S., & Verguts, T. (2001). Being funny: A selectionist account of humor production. Humor: International Journal of Humor Research, 14, 37-53. doi:10.1515/humr.14.1.37
• 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
• 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
• Kiers, H. A. L., & Van Mechelen, I. (2001). Three-way component analysis: Principles and illustrative application. Psychological Methods, 6, 84-110. doi:10.1037/1082-989X.6.1.84
• Leenen, I., & Van Mechelen, I. (2001). An evaluation of two algorithms for hierarchical classes analysis. Journal of Classification, 18, 57-80. doi:10.1007/s00357-001-0005-2
• Leenen, I., Van Mechelen, I., & De Boeck, P. (2001). Models for ordinal hierarchical classes analysis. Psychometrika, 66, 389-404. doi:10.1007/BF02294441
• Luyten, L., Lowyck, J., & Tuerlinckx, F. (2001). Task perception as a mediating variable: A contribution to the validation of instructional knowledge. British Journal of Educational Psychology, 71, 203-223. doi:10.1348/000709901158488
• 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., 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
• 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.
• 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.
• 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., 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.
• 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

Chapter in book

• 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.

2000

International journal articles

• Berkhof, J., Van Mechelen, I., & Hoijtink, H. (2000). Posterior predictive checks: Principles and discussion. Computational Statistics, 15, 337-354. doi:10.1007/s001800000038
• Gelman, A., Goegebeur, Y., Tuerlinckx, F., & Van Mechelen, I. (2000). Diagnostic checks for discrete-data regression models using posterior predictive simulations. Applied Statistics, 49, 247-268. doi:10.1111/1467-9876.00190
• Gelman, A., & Tuerlinckx, F. (2000). Type S error rates for classical and Bayesian single and multiple comparison procedures. Computational Statistics, 15, 373-390. doi:10.1007/s001800000040
• Janssen, R., & De Boeck, P. (2000). Exploring the posterior of a hierarchical IRT model for item effects. Computational Statistics, 15, 421-442.
• 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
• Leenen, I., Van Mechelen, I., & Gelman, A. (2000). Bayesian probabilistic extensions of a deterministic classification model. Computational Statistics, 15, 355-371. doi:10.1007/s001800000039
• 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
• 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

Special issues

• Van Mechelen, I., & Hoijtink, H. (Eds.). (2000). Special issue on Bayesian computational statistics [Special issue]. Computational Statistics, 15(3).

1999

International journal articles

• 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 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.
• Dewitte, S., & Verguts, T. (1999). Behavioral variation: A neglected aspect in selectionist thinking. Behavior and Philosophy, 27, 127-145.
• 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., 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
• 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., & Rosenberg, S. (1999). INDCLAS: A three-way hierarchical classes model. Psychometrika, 64, 9-24. doi:10.1007/BF02294316
• Storms, G., De Boeck, P., Hampton, J. A., & Van Mechelen, I. (1999). Predicting conjunctive typicalities by component typicalities. Psychonomic Bulletin & Review, 6, 677-684.
• 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
• Van Mechelen, I., & De Raad, B. (1999). Editorial: Personality and situations. European Journal of Personality, 13, 333-336. doi:10.1002/(SICI)1099-0984(199909/10)13:5<333::AID-PER364>3.0.CO;2-O
• Van Mechelen, I., & Kiers, H. A. L. (1999). Individual differences in anxiety responses to stressful situations: A three-mode component analysis model. European Journal of Personality, 13, 409-428. doi:10.1002/(SICI)1099-0984(199909/10)13:5<409::AID-PER360>3.0.CO;2-I
• Vansteelandt, K. (1999). A formal model for the competency-demand hypothesis. European Journal of Personality, 13, 429-442. doi:10.1002/(SICI)1099-0984(199909/10)13:5<429::AID-PER359>3.0.CO;2-R
• 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

Special issues

• Van Mechelen, I., & De Raad, B. (Eds.). (1999). Personality and situations [Special issue]. European Journal of Personality, 13(5).

1998

International journal articles

• 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.
• Tuerlinckx, F., & De Boeck, P. (1998). Modeling local item dependencies in item response theory. Psychologica Belgica, 38, 61-82.
• Vansteelandt, K., & Van Mechelen, I. (1998). Individual differences in situation-behavior profiles: A triple typology model. Journal of Personality and Social Psychology, 75, 751-765. doi:10.1037/0022-3514.75.3.751

Chapter in book

• Leenen, I., & Van Mechelen, I. (1998). A branch-and-bound algorithm for Boolean regression. In I. Balderjahn, R. Mathar, & M. Schader (Eds.), Classification, data analysis, and data highways (pp. 164-171). 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.
• Van Mechelen, I., & Leenen, I. (1998). Predicting a binary criterion variable on the basis of binary predictors: The combination rule analysis approach. In K. C. Klauer & H. Westmeyer (Eds.), Psychologische Methoden und Soziale Prozesse (pp. 136-153). Lengerich, Germany: Pabst.