Florian Wickelmaier

Publications

Edited journal issue

Wickelmaier, F., Strobl, C., & Zeileis, A. (2012). Psychoco: Psychometric computing in R. Journal of Statistical Software, 48(1), 1-5. doi:10.18637/jss.v048.i01 [bibtex]

Preprints

Wickelmaier, F. (2022). Simulating the power of statistical tests: A collection of R examples. ArXiv. doi:10.48550/arXiv.2110.09836 [bibtex]

Wickelmaier, F. (2015). On not testing the foreign-language effect: A comment on Costa, Foucart, Arnon, Aparici, and Apesteguia (2014). ArXiv. doi:10.48550/arXiv.1506.07727 [data and replication R code] [bibtex] [Blog post by Andrew Gelman]

Papers published in refereed journals

Wickelmaier, F., & Zeileis, A. (2018). Using recursive partitioning to account for parameter heterogeneity in multinomial processing tree models. Behavior Research Methods, 50(3), 1217-1233. doi:10.3758/s13428-017-0937-z [data and replication R code] [bibtex]

Huff, M., Maurer, A. E., Brich, I., Pagenkopf, A., Wickelmaier, F., & Papenmeier, F. (2018). Construction and updating of event models in auditory event processing. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(2), 307-320. doi:10.1037/xlm0000482 [bibtex]

Heller, J., & Wickelmaier, F. (2013). Minimum discrepancy estimation in probabilistic knowledge structures. Electronic Notes in Discrete Mathematics, 42, 49-56. doi:10.1016/j.endm.2013.05.145 [data and replication R code] [bibtex]

Strobl, C., Wickelmaier, F., & Zeileis, A. (2011). Accounting for individual differences in Bradley-Terry models by means of recursive partitioning. Journal of Educational and Behavioral Statistics, 36(2), 135-153. doi:10.3102/1076998609359791 [data and replication R code] [bibtex]

Oberfeld, D., Hecht, H., Allendorf, U., & Wickelmaier, F. (2009). Ambient lighting modifies the flavor of wine. Journal of Sensory Studies, 24(6), 797-832. doi:10.1111/j.1745-459X.2009.00239.x [data and replication R code] [bibtex]

Möller, H., Riedel, M., Jäger, M., Wickelmaier, F., ..., Gaebel, W. (2008). Short-term treatment with risperidone or haloperidol in first-episode schizophrenia: 8-week results of a randomized controlled trial within the German Research Network on Schizophrenia. International Journal of Neuropsychopharmacology, 11(7), 985-997. doi:10.1017/S1461145708008791 [bibtex]

Heres, S., Hamann, J., Mendel, R., Wickelmaier, F., ..., Kissling, W. (2008). Identifying the profile of optimal candidates for antipsychotic depot therapy: A cluster analysis. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 32(8), 1987-1993. doi:10.1016/j.pnpbp.2008.09.025 [bibtex]

Seemüller, F., Riedel, M., Wickelmaier, F., ..., Henkel, V. (2008). Atypical symptoms in hospitalised patients with major depressive episode: Frequency, clinical characteristics, and internal validity. Journal of Affective Disorders, 108(3), 271-278. doi:10.1016/j.jad.2007.10.025 [bibtex]

Wickelmaier, F., & Ellermeier, W. (2007). Deriving auditory features from triadic comparisons. Perception & Psychophysics, 69(2), 287-297. doi:10.3758/BF03193750 [bibtex]

Choisel, S., & Wickelmaier, F. (2007). Evaluation of multichannel reproduced sound: Scaling auditory attributes underlying listener preference. Journal of the Acoustical Society of America, 121(1), 388-400. doi:10.1121/1.2385043 [data and replication R code] [bibtex]

Choisel, S., & Wickelmaier, F. (2006). Extraction of auditory features and elicitation of attributes for the assessment of multichannel reproduced sound. Journal of the Audio Engineering Society, 54(9), 815-826. https://www.aes.org/e-lib/browse.cfm?elib=13903 [pdf] [bibtex]

Wickelmaier, F., & Schmid, C. (2004). A Matlab function to estimate choice model parameters from paired-comparison data. Behavior Research Methods, Instruments, and Computers, 36(1), 29-40. doi:10.3758/BF03195547 [data and replication R code] [bibtex]

Papers published in conference proceedings

Kvetnaya, T., Schopf, K., & Wickelmaier, F. (2019). Irrelevant background speech disrupts serial short-term memory for verbal but not for spatial information: A pre-registered replication study. In S. Spors, & F.-H. Wurm (eds.), Fortschritte der Akustik - DAGA 2019 (p. 867-870). Berlin: Deutsche Gesellschaft für Akustik. [pdf] [materials, data, and replication R code] [bibtex]

Wickelmaier, F., Umbach, N., Sering, K., & Choisel, S. (2012). Scaling sound quality using models for paired-comparison and ranking data. In H. Hanselka (ed.), Fortschritte der Akustik - DAGA 2012 (p. 45-46). Berlin: Deutsche Gesellschaft für Akustik. [pdf] [bibtex]

Wickelmaier, F., Umbach, N., Sering, K., & Choisel, S. (2009). Comparing three methods for sound quality evaluation with respect to speed and accuracy. Presented at the AES 126th Convention, May 7-10, Munich, Germany, convention paper 7783. https://www.aes.org/e-lib/browse.cfm?elib=14979 [pdf] [bibtex]

Wickelmaier, F., & Choisel, S. (2006). Modeling within-pair order effects in paired-comparison judgments. In D.E. Kornbrot, R.M. Msetfi, & A.W. MacRae (eds.), Fechner Day 2006. Proceedings of the 22nd Annual Meeting of the International Society for Psychophysics (p. 89-94). St. Albans, UK: The ISP. [link] [bibtex]

Choisel, S., & Wickelmaier, F. (2006). Relating auditory attributes of multichannel sound to preference and to physical parameters. Presented at the AES 120th Convention, May 20-23, Paris, France, convention paper 6684. https://www.aes.org/e-lib/browse.cfm?elib=13488 [pdf] [bibtex]

Wickelmaier, F., & Choisel, S. (2005). Selecting participants for listening tests of multichannel reproduced sound. Presented at the AES 118th Convention, May 28-31, Barcelona, Spain, convention paper 6483. https://www.aes.org/e-lib/browse.cfm?elib=13199 [pdf] [bibtex]

Wickelmaier, F., & Schmid, C. (2004). Probabilistic choice models for psychological scaling. In D. Cassereau (ed.), Proceedings of the Joint Congress CFA, DAGA '04 (p. 1123-1124). Paris: Société Française d'Acoustique [pdf] [bibtex]

Abstract only

Wickelmaier, F. (2024). An R implementation of the simple learning model for probabilistic knowledge structures. Presented at the Psychoco 2024 International Workshop on Psychometric Computing, February 29 to March 1, Rotterdam, The Netherlands.

Wickelmaier, F. (2023). Extending the pks package for fitting probabilistic knowledge structures. Presented at the Psychoco 2023 International Workshop on Psychometric Computing, June 8-9, Zurich, Switzerland.

Wickelmaier, F., & Heller, J. (2023). Probabilistic knowledge structures in R: New features in the pks package. Presented at the Knowledge Spaces & Beyond Symposium, January 10-11, Padua, Italy.

Glemser, C., & Wickelmaier, F. (2019). Discrepancies in the structural change test in applications to the BTL and MPT model related to the covariance estimator. Presented at the Psychoco 2019 International Workshop on Psychometric Computing, February 21-22, Prague, Czech Republic.

Wickelmaier, F., & Zeileis, A. (2018). Using manifest covariates to account for latent classes in multinomial processing tree models. Presented at the Psychoco 2018 International Workshop on Psychometric Computing, February 15-16, Tübingen, Germany.

Wickelmaier, F., & Zeileis, A. (2017). Accounting for parameter heterogeneity in multinomial processing tree models using model-based recursive partitioning. Presented at the Tagung der Fachgruppe Methoden & Evaluation der Deutschen Gesellschaft für Psychologie, September 17-20, Tübingen, Germany.

Wickelmaier, F. (2016). Using multinomial processing tree (MPT) models to estimate parameters in probabilistic knowledge structures. Presented at the Psychoco 2016 International Workshop on Psychometric Computing, February 18-19, Liege, Belgium.

Wickelmaier, F., & Zeileis, A. (2015). Recursive partitioning for multinomial processing tree models: A new implementation based on the partykit package. Presented at the Psychoco 2015 International Workshop on Psychometric Computing, February 12-13, Amsterdam, The Netherlands.

Umbach, N., & Wickelmaier, F. (2015). qdm: Dealing with violations of regular minimality in psychophysical judgments. Presented at the Psychoco 2015 International Workshop on Psychometric Computing, February 12-13, Amsterdam, The Netherlands.

Umbach, N., & Wickelmaier, F. (2014). Violations of regular minimality in discrimination judgments of frequency-modulated tones. Presented at the 45th European Mathematical Psychology Group (EMPG) Meeting, July 30 to August 1, Tübingen, Germany.

Wickelmaier, F., & Zeileis, A. (2013). Investigating the effects of subject covariates in multinomial processing tree models by recursive partitioning. Presented at the 46th Annual Meeting of the Society of Mathematical Psychology, August 4-7, Potsdam, Germany.

Wickelmaier, F., & Zeileis, A. (2013). A first implementation of recursive partitioning for multinomial processing tree models. Presented at the Psychoco 2013 International Workshop on Psychometric Computing, February 14-15, Zurich, Switzerland.

Wickelmaier, F., Strobl, C., & Zeileis, A. (2012). Model-based recursive partitioning for Bradley-Terry models. Presented at the International Meeting of the Psychometric Society, July 9-12, Lincoln, NE, USA.

Wickelmaier, F., & Heller, J. (2012). Parameter estimation in probabilistic knowledge structures with the pks package. Presented at the Psychoco 2012 International Workshop on Psychometric Computing, February 9-10, Innsbruck, Austria.

Wickelmaier, F. (2011). Multinomial processing tree models in R. Presented at the R User Conference 2011, August 16-18, Coventry, UK.

Wickelmaier, F., Strobl, C., & Zeileis, A. (2010). Model-based recursive partitioning for Bradley-Terry models. Presented at the Psychoco 2010 International Workshop on Psychometric Computing, February 25-26, Munich, Germany.

Wickelmaier, F. (2008). Analyzing paired-comparison data in R using probabilistic choice models. Presented at the R User Conference 2008, August 12-14, Dortmund, Germany.

Wickelmaier, F. (2007). Modellierung von Reihenfolgeeffekten bei Paarvergleichsurteilen. [Modeling within-pair order effects in paired-comparison judgments.] Presented at the 8. Tagung der Fachgruppe Methoden und Evaluation, September 12-14, Giessen, Germany.

Möller, H.-J., Seemüller, F., Wickelmaier, F., Jäger, M., & Riedel, M. (2006). Verbesserung der Akutbehandlung ersterkrankter schizophrener Patienten durch Anwendung neuer pharmakologischer Prinzipien. [Improving the treatment of first-episode schizophrenia by applying new pharmacological strategies.] Presented at the DGPPN 2006 Congress, November 22-25, Berlin, Germany.

Wickelmaier, F., & Ellermeier, W. (2005). Bestimmung auditiver Merkmale mittels Tripelvergleichen. [Deriving auditory features from triadic comparisons.] In K.W. Lange, K.-H. Bäuml, M.W. Greenlee, M. Hammerl, & A. Zimmer (eds.), Experimentelle Psychologie. Abstracts der 47. Tagung experimentell arbeitender Psychologen (TeaP) (p. 226). Lengerich, Germany: Pabst.

Heller, J., & Wickelmaier, F. (2004). Parameter estimation in probabilistic knowledge structures: The minimum-discrepancy method. Presented at the 35th European Mathematical Psychology Group (EMPG) Meeting, September 2-4, Ghent, Belgium.

Wickelmaier, F., & Ellermeier, W. (2004). Scaling the perceived fluctuation strength of frequency-modulated tones. Presented at the 147th Meeting of the Acoustical Society of America, May 24-28, New York, USA. [pdf]

Wickelmaier, F. (2004). Meinen Experten immer das Gleiche? Semantische Strukturen bei der Beurteilung der Bildschirmqualität. [Do experts always mean the same? Semantic structures in screen quality evaluation.] In D. Kerzel, V. Franz, & K. Gegenfurtner (eds.), Experimentelle Psychologie. Abstracts der 46. Tagung experimentell arbeitender Psychologen (TeaP) (p. 286). Lengerich, Germany: Pabst.

Wickelmaier, F., & Heller, J. (2003). Beurteilung der Validität von Wissensstrukturen durch den Diskrepanzindex. [Assessing the validity of knowledge structures: The discrepancy index.] In J. Golz, F. Faul, & R. Mausfeld (eds.), Experimentelle Psychologie. Abstracts der 45. Tagung experimentell arbeitender Psychologen (TeaP) (p. 230). Lengerich, Germany: Pabst. [pdf]

Invited talks and tutorials

Erdfelder, E., & Wickelmaier, F. (2024). Classical and Bayesian multinomial processing tree modeling. Workshop at the Erasmus+ Project: Higher Education Learning Platform for Quantitative Thinking, March 10-17, Budapest, Hungary.

Wickelmaier, F., & Wickelmaier, N. (2023). Power analysis and sample size calculation. Invited talk at the Neural Information Processing Group (Felix Wichmann), July 25, Tübingen, Germany.

Wickelmaier, F. (2022). Power analysis and sample size calculation. Tutorial at the Workshop: Promoting Transparency and Replicability in Research, September 19-22, Tübingen, Germany.

Wickelmaier, F. (2022). Advanced R and an introduction to Shiny. Workshop at the Erasmus+ Project: Higher Education Learning Platform for Quantitative Thinking, March 13-20, Leuven, Belgium.

Wickelmaier, F. (2021). Programming Shiny apps. Workshop at the Erasmus+ Project: Higher Education Learning Platform for Quantitative Thinking, March 15-23, Tübingen, Germany.

Wickelmaier, F. & Losert, M. (2018). Programming in R and Shiny. Workshop at the Erasmus+ Project: Tools for Teaching Quantitative Thinking, March 25 to April 1, Glasgow, UK.

Heller, J., & Wickelmaier, F. (2017). Probabilistic knowledge structures. Workshop at the Erasmus+ Project: Tools for Teaching Quantitative Thinking, March 26 to April 2, Graz, Austria.

Wickelmaier, F. & Naumann, K. (2017). Programming in R and Shiny. Workshop at the Erasmus+ Project: Tools for Teaching Quantitative Thinking, March 26 to April 2, Graz, Austria.

Wickelmaier, F. (2016). An introduction to R and Shiny. Workshop at the Erasmus+ Project: Tools for Teaching Quantitative Thinking, March 6-13, Lisbon, Portugal.

Wickelmaier, F. (2015). Programming in R. Workshop at the Erasmus Intensive Program: A Quantitative Approach to Psychological Processes, March 22-28, Budapest, Hungary.

Wickelmaier, F. (2014). Investigating cognitive processes with multinomial models: Searching for explanatory variables by recursive partitioning. Invited talk at the Department of Statistics, University of Innsbruck, December 4, Innsbruck, Austria.

Heller, J., & Wickelmaier, F. (2014). Probabilistic knowledge structures. Workshop at the Erasmus Intensive Program: A Quantitative Approach to Psychological Processes, March 29 to April 9, Tartu, Estonia.

Wickelmaier, F. (2013). Programming in R. Workshop at the Erasmus Intensive Program: A Quantitative Approach to Psychological Processes, March 13-24, Oulu, Finland.

Wickelmaier, F., & Frick, H. (2012). Psychometrics with R. Workshop at the International Meeting of the Psychometric Society, July 9-12, Lincoln, NE, USA.

Wickelmaier, F. (2011). Analyse von mehrdimensionalen Kontingenztabellen. [Analysis of multidimensional contingency tables.] Workshop at the Münchner R Kurse, June 20-21, Munich, Germany.

Wickelmaier, F. (2011). Programming in R. Workshop at the Erasmus Intensive Program: Formal Models and Quantitative Methods for Psychology, March 20-31, Amsterdam, The Netherlands.

Strobl, C., & Wickelmaier, F. (2009). Psychometrie mit R. [Psychometrics with R.] Workshop at the 9. Tagung der Fachgruppe Methoden und Evaluation, September 10-12, Bielefeld, Germany.

Choisel, S., Wickelmaier, F., & Sporer, T. (2009). Lies, damn lies, and statistics. Workshop at the AES 126th Convention, May 7-10, Munich, Germany.

Wickelmaier, F. (2009). An introduction to R. Workshop at the Erasmus Intensive Program: Formal Models and Quantitative Methods for Psychology, April 20-29, Tübingen, Germany.

Strobl, C., & Wickelmaier, F. (2009). Psychometrie mit R. [Psychometrics with R.] Workshop at the Münchner R Kurse, February 26-27, Munich, Germany.

Wickelmaier, F. (2009). Multi-attribute probabilistic choice models. Invited talk at the Workshop on Psychometric Computing, January 23, Vienna, Austria.

Theses

Wickelmaier, F. (2005). Indirect scaling methods applied to the identification and quantification of auditory attributes. Ph.D. dissertation, Aalborg University, Denmark. [pdf]

Wickelmaier, F. (2002). Empirische Untersuchung zur Erfassung von Wissen durch deterministische und probabilistische Wissensstrukturen. [An empirical study of the representation of knowledge by means of deterministic and probabilistic knowledge structures.] Master's thesis, University of Regensburg, Germany. [pdf]

Technical reports

Wickelmaier, F., & Heller, J. (2023). Parameter Estimation in Probabilistic Knowledge Structures - Step by Step. https://cran.r-project.org/package=pks

Wickelmaier, F., Heller, J., & Mollenhauer, J. (2023). Probabilistic knowledge structures. R package manual, version 0.6-0. https://cran.r-project.org/package=pks

Wickelmaier, F., & Zeileis, A. (2022). Multinomial processing tree (MPT) models. R package manual, version 0.8-0. https://cran.r-project.org/package=mpt

Wickelmaier, F. (2020). Elimination-by-aspects (EBA) models. R package manual, version 1.10-0 https://cran.r-project.org/package=eba

Wickelmaier, F. (2003). An introduction to MDS. Reports from the Sound Quality Research Unit (SQRU), No. 7. [pdf] [data]