Wolf Vanpaemel

Contact information

Foto Wolf VanpaemelWolf Vanpaemel
Tiensestraat 102
3000 Leuven


Phone: (+32) 16 326256
Fax: (+32) 16 325993
 

Research interests

  • Bayesian statistics
  • Theory testing
  • Cognitive modelling
  • Cognitive psychometrics

Publications

Group by: Type / Year & Type

International journal articles

  • Anderson, C. J.*, Bahník, S.*, Barnett-Cowan, M.*, Bosco, F. A.*, Chandler, J.*, Chartier, C. R.*, Cheung, F.*, Christopherson, C. D.*, Cordes, A.*, Cremata, E. J.*, Della Penna, N.*, Estel, V.*, Fedor, A.*, Fitneva, S. A.*, Frank, M. C.*, Grange, J. A.*, Hartshorne, J. K.*, Hasselman, F.*, Henninger, F.*, van der Hulst, M.*, Jonas, K. J.*, Lai, C. K.*, Levitan, C. A.*, Miller, J. K.*, Moore, K. S.*, Meixner, J. M.*, Munafò, M. R.*, Neijenhuijs, K. I.*, Nilsonne, G.*, Nosek, B. A.*, Plessow, F.*, Prenoveau, J. M.*, Ricker, A. A.*, Schmidt, K.*, Spies, J. R.*, Stieger, S.*, Strohminger, N.*, Sullivan, G.B.*, van Aert, R. C. M.*, van Assen, M. A. L. M.*, Vanpaemel, W.*, Vianello, M.*, Voracek, M.*, & Zuni, K.* (2016). Response to comment on "Estimating the reproducibility of psychological science". Science, 351, 1037, 1-3. doi:10.1126/science.aad9163 PDF
  • Bartlema, A., Lee, M. D., Wetzels, R., & Vanpaemel, W. (2014). A Bayesian hierarchical mixture approach to individual differences: Case studies in selective attention and representation in category learning. Journal of Mathematical Psychology, 59, 132-150. doi:10.1016/j.jmp.2013.12.002 PDF Link
  • Bringmann, L. F., Pe, M. L., Vissers, N., Ceulemans, E., Borsboom, D., Vanpaemel, W., Tuerlinckx, F., & Kuppens, P. (in press). Assessing temporal emotion dynamics using networks. Assessment. doi:10.1177/1073191116645909 PDF
  • Canini, K. R., Griffiths, T. L., Vanpaemel, W., & Kalish, M. L. (2014). Revealing human inductive biases for category learning by simulating cultural transmission. Psychonomic Bulletin & Review, 21, 785-793. doi:10.3758/s13423-013-0556-3 PDF Link
  • De Deyne, S.*, Verheyen, S.*, Ameel, E.*, Vanpaemel, W.*, Dry, M., Voorspoels, W., & Storms, G. (2008). Exemplar by feature applicability matrices and other Dutch normative data for semantic concepts. Behavior Research Methods, 40, 1030-1048. doi:10.3758/BRM.40.4.1030 PDF
  • Lee, M. D., & Vanpaemel, W. (2008). Exemplars, prototypes, similarities, and rules in category representation: An example of hierarchical Bayesian analysis. Cognitive Science, 32, 1403-1424. doi:10.1080/03640210802073697 PDF
  • Lee, M. D., & Vanpaemel, W. (2013). Quantum models of cognition as Orwellian newspeak. Behavioral and Brain Sciences, 36, 295-296. doi:10.1017/S0140525X12003020 PDF
  • Meulders, M., Tuerlinckx, F., & Vanpaemel, W. (2013). Constrained multilevel latent class models for the analysis of three-way three-mode binary data. Journal of Classification, 30, 306-337. doi:10.1007/s00357-013-9141-8 PDF
  • Morey, R. D., Chambers, C. D., Etchells, P. J., Harris, C. R., Hoekstra, R., Lakens, D., Lewandowsky, S., Morey, C. C., Newman, D. P., Schönbrodt, F., Vanpaemel, W., Wagenmakers, E.-J., & Zwaan, R. A. (2016). The peer reviewers' openness initiative: Incentivising open research practices through peer review. Royal Society Open Science, 3, 150547, 1-7. PDF
  • Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349, aac4716, 1-10. doi:10.1126/science.aac4716 PDF Link
  • Ruts, W., De Deyne, S., Ameel, E., Vanpaemel, W., Verbeemen, T., & Storms, G. (2004). Dutch norm data for 13 semantic categories and 338 exemplars. Behavior Research Methods, Instruments, & Computers, 36, 506-515. doi:10.3758/BF03195597 PDF
  • Santangelo, P. S., Limberger, M. F., Stiglmayr, C., Houben, M., Coosemans, J., Verleysen, G., Kuppens, P., Tuerlinckx, F., Vanpaemel, W., & Ebner-Priemer, U. W. (in press). Analyzing subcomponents of affective dysregulation in borderline personality disorder in comparison to other clinical groups using multiple e-diary datasets. Borderline Personality Disorder and Emotion Dysregulation. PDF
  • Steegen, S., Dewitte, L., Tuerlinckx, F., & Vanpaemel, W. (2014). Measuring the crowd within again: A pre-registered replication study. Frontiers in Psychology, 5, 786, 1-8. doi:10.3389/fpsyg.2014.00786 PDF Link
  • Vanpaemel, W. (2009). BayesGCM: Software for Bayesian inference with the generalized context model. Behavior Research Methods, 41, 1111-1120. doi:10.3758/BRM.41.4.1111 PDF Link
  • Vanpaemel, W. (2010). Prior sensitivity in theory testing: An apologia for the Bayes factor. Journal of Mathematical Psychology, 54, 491-498. doi:10.1016/j.jmp.2010.07.003 PDF
  • Vanpaemel, W. (2011). Constructing informative model priors using hierarchical methods. Journal of Mathematical Psychology, 55, 106-117. doi:10.1016/j.jmp.2010.08.005 PDF
  • Vanpaemel, W. (in press). Prototypes, exemplars and the response scaling parameter: A Bayes factor perspective. Journal of Mathematical Psychology. PDF
  • Vanpaemel, W., & Lee, M. D. (2012). The Bayesian evaluation of categorization models: Comment on Wills and Pothos (2012) Psychological Bulletin, 138, 1253-1258. doi:10.1037/a0028551 PDF
  • Vanpaemel, W., & Lee, M. D. (2012). Using priors to formalize theory: Optimal attention and the generalized context model. Psychonomic Bulletin & Review, 19, 1047-1056. doi:10.3758/s13423-012-0300-4 PDF
  • Vanpaemel, W., & Storms, G. (2008). In search of abstraction: The varying abstraction model of categorization. Psychonomic Bulletin & Review, 15, 732-749. doi:10.3758/PBR.15.4.732 PDF
  • Vanpaemel, W., & Storms, G. (2010). Abstraction and model evaluation in category learning. Behavior Research Methods, 42, 421-437. doi:10.3758/BRM.42.2.421 PDF
  • Vanpaemel, W., & Tuerlinckx, F. (2012). Doing Bayesian data analysis in the classroom: An experience based review of John K. Kruschke's (2011) "Doing Bayesian Data Analysis: A Tutorial with R and BUGS". Journal of Mathematical Psychology, 56, 64-66. doi:10.1016/j.jmp.2011.12.001 PDF
  • Vanpaemel, W., Verbeemen, T., Dry, M., Verguts, T., & Storms, G. (2010). Geometric and featural representations in semantic concepts. Memory & Cognition, 38, 962-968. doi:10.3758/MC.38.7.962 PDF
  • Vanpaemel, W., Vermorgen, M., Deriemaecker, L., & Storms, G. (2015). Are we wasting a good crisis? The availability of psychological research data after the storm. Collabra, 1, 1-5. doi:10.1525/collabra.13 PDF Link
  • Verbeemen, T.*, Vanpaemel, W.*, Pattyn, S., Storms, G., & Verguts, T. (2007). Beyond exemplars and prototypes as memory representations of natural concepts: A clustering approach. Journal of Memory and Language, 56, 537-554. doi:10.1016/j.jml.2006.09.006 PDF
  • Verheyen, S., Voorspoels, W., Vanpaemel, W., & Storms, G. (2016). Caveats for the spatial arrangement method: Comment on Hout, Goldinger, and Ferguson (2013). Journal of Experimental Psychology: General, 145, 376-382. doi:10.1037/a0039758 PDF
  • Voorspoels, W., Bartlema, A., & Vanpaemel, W. (2014). Can race really be erased? A pre-registered replication study. Frontiers in Psychology, 5, 1035, 1-7. doi:10.3389/fpsyg.2014.01035 PDF Link
  • Voorspoels, W., Storms, G., & Vanpaemel, W. (2011). Representation at different levels in a conceptual hierarchy. Acta Psychologica, 138, 11-18. doi:10.1016/j.actpsy.2011.04.007 PDF
  • Voorspoels, W., Storms, G., & Vanpaemel, W. (2012). An exemplar approach to conceptual combination. Psychologica Belgica, 52, 435-458. PDF
  • Voorspoels, W., Storms, G., & Vanpaemel, W. (2012). Contrast effects in typicality judgements: A hierarchical Bayesian approach. The Quarterly Journal of Experimental Psychology, 65, 1721-1739. doi:10.1080/17470218.2012.662237 PDF
  • Voorspoels, W., Storms, G., & Vanpaemel, W. (2013). Idealness and similarity in goal-derived categories: A computational examination. Memory & Cognition, 41, 312-327. doi:10.3758/s13421-012-0252-y PDF
  • Voorspoels, W., Vanpaemel, W., & Storms, G. (2008). Exemplars and prototypes in natural language concepts: A typicality-based evaluation. Psychonomic Bulletin & Review, 15, 630-637. doi:10.3758/PBR.15.3.630 PDF
  • Voorspoels, W., Vanpaemel, W., & Storms, G. (2011). A formal ideal-based account of typicality. Psychonomic Bulletin & Review, 18, 1006-1014. doi:10.3758/s13423-011-0122-9 PDF

Chapters in books

  • Canini, K., Griffiths, T., Vanpaemel, W., & Kalish, M. (2011). Discovering inductive biases in categorization through iterated learning. In L. Carlson, C. Hölscher, & T. F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 1667-1672). Austin, TX: Cognitive Science Society. PDF
  • Kruschke, J. K., & Vanpaemel, W. (2015). Bayesian estimation in hierarchical models. In J. Busemeyer, J. Townsend, Z. J. Wang, & A. Eidels (Eds.), The Oxford Handbook of Computational and Mathematical Psychology (pp. 279-299). Oxford: Oxford University Press. PDF
  • Stukken, L., Storms, G., & Vanpaemel, W. (2011). Explaining categorization response times with varying abstraction. In L. Carlson, C. Hölscher, & T. F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 2842-2847). Austin, TX: Cognitive Science Society. PDF
  • Vanpaemel, W. (2009). Measuring model complexity with the prior predictive. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, & A. Culotta (Eds.), Advances in Neural Information Processing Systems 22 (pp. 1919-1927). Red Hook, NY: Curran Associates Inc. PDF
  • Vanpaemel, W., & Lee, M. (2007). A model of building representations for category learning. In D. McNamara & J. Trafton (Eds.), Proceedings of the 29th Annual Conference of the Cognitive Science Society (pp. 1605-1610). Austin, TX: Cognitive Science Society. PDF
  • Vanpaemel, W., & Navarro, D. (2007). Representational shifts during category learning. In D. McNamara & J. Trafton (Eds.), Proceedings of the 29th Annual Conference of the Cognitive Science Society (pp. 1599-1604). Austin, TX: Cognitive Science Society. PDF
  • Vanpaemel, W., Pattyn, S., & Storms, G. (2006). Yet another look at thirty categorization results. In R. Sun & N. Miyake (Eds.), Proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 2299-2304). Mahwah, NJ: Lawrence Erlbaum. PDF
  • Vanpaemel, W., Storms, G., & Ons, B. (2005). A varying abstraction model for categorization. In B. Bara, L. Barsalou, & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society (pp. 2277-2282). Mahwah, NJ: Lawrence Erlbaum. PDF
  • Voorspoels, W., Storms, G., & Vanpaemel, W. (2011). Contrast in natural language concepts: An exemplar-based approach. In L. Carlson, C. Hölscher, & T. F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 531-536). Austin, TX: Cognitive Science Society. PDF
  • Voorspoels, W., Vanpaemel, W., & Storms, G. (2008). Modeling typicality: Extending the prototype view. In B. Love, K. McRae, & V. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 757-762). Austin, TX: Cognitive Science Society. PDF
  • Voorspoels, W., Vanpaemel, W., & Storms, G. (2009). The role of extensional information in conceptual combination. In N. Taatgen & H. Van Rijn (Eds.), Proceedings of the 31th Annual Conference of the Cognitive Science Society (pp. 2432-2437). Austin, TX: Cognitive Science Society. PDF
  • Voorspoels, W., Vanpaemel, W., & Storms, G. (2010). Ideal representations in a similarity space. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 2290-2295). Austin, TX: Cognitive Science Society. PDF

Teaching

CodeTitle
P0Q02AMethods of Scientific Research, Part Two
P0M29APsychometrics and Construction of Psychological Assessment Tests, with Practicum
P0Q45AQuantitative Psychology
P0Q00AStatistics V (Advanced statistical methods for psychological research data)
P0Q01AStatistics VI (Seminar on statistical analyses of psychological researchdata)