Sonderforschungsbereich 1287
Die Grenzen der Variabilität in der Sprache: Kognitive, komputationale und grammatische Aspekte
  1. SFB 1287
  2. Projekte
  3. Projekt Q

Projekt Q

Wissenschaftliches Service- und Infrastrukturprojekt

PI(s): Prof. Dr. Shravan Vasishth & Prof. Dr. Ralf Engbert

Dieses Projekt unterstützt den SFB bei der Beratung der Teilprojekte zu experimentellem Design und statistischer Analyse, der Präregistrierung der primären statistischen Analysen mittels der Open Science Foundation und dem Datenmanagement. Diese Ziele werden erreicht durch (1) die Optimierung von experimentellen Designs und statistischen Analysen, (2) die statistische Ausbildung innerhalb des SFBs, (3) die Unterstützung bei der Entwicklung und Pflege von Datenrepositorien inkl. der Präregistrierung und Veröffentlichung von Daten und Code sowie (4) die Entwicklung neuer statistischer Methoden, komputationaler Werkzeuge und Softwarepakete, die auch der Allgemeinheit zur Verfügung gestellt werden.

MitarbeiterInnen

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Prof. Dr. Shravan Vasishth (+49) 331 977-2457 shravan.vasishth@uni-potsdam.de Homepage Universität ORCID
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Prof. Dr. Ralf Engbert (+49) 331 977-2140 ralf.engbert@uni-potsdam.de Universität ORCID
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Dr. Anna Laurinavichyute anna.laurinavichyute@uni-potsdam.de Homepage ORCID
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David Ziegert (+49) 331 977-231118 david.ziegert@uni-potsdam.de

Papers

AutorenTitelJahrErschienen inLinks
Vasishth, S., Mertzen, D., Jäger, L.A., & Gelman, A.The statistical significance filter leads to overoptimistic expectations of replicability.2018Journal of Memory and Language, 103, 151-175. DOI: 10.1016/j.jml.2018.07.004
Nicenboim, B.,  Roettger, T.B., & Vasishth, S.Using meta-analysis for evidence synthesis: The case of incomplete neutralization in German.2018Journal of Phonetics, 70 (Special Issue: Emerging Data Analysis in Phonetic Sciences), 39-55. DOI: 10.1016/j.wocn.2018.06.001
Engelmann, F., Jäger, L. A., & Vasishth, S.The effect of prominence and cue association in retrieval processes: A computational account.2019Cognitive Science, 43, e12800. DOI: 10.1111/cogs.12800
Rabe, M. M., Vasishth, S., Hohenstein, S., Kliegl, R., & Schad, D. J.hypr: An R package for hypothesis-driven contrast coding.2020The Journal of Open Source Software, 5(48), 2134. DOI: 10.21105/joss.02134
Jäger, L. A., Mertzen, D., Van Dyke, J. A., & Vasishth, S.Interference patterns in subject-verb agreement and reflexives revisited: A large-sample study.2020Journal of Memory and Language, 111, 104063. DOI: 10.1016/j.jml.2019.104063
Vasishth, S.Using Approximate Bayesian Computation for estimating parameters in the cue-based retrieval model of sentence processing.2020MethodsX, 7, 100850. DOI: 10.1016/j.mex.2020.100850
Bürki, A., Elbuy, S., Madec, S., & Vasishth, S.What did we learn from forty years of research on semantic interference? A Bayesian meta-analysis.2020Journal of Memory and Language, 114: 104125. DOI: 10.1016/j.jml.2020.104125
Schad, D. J., Vasishth, S., Hohenstein, S., & Kliegl, R.How to capitalize on a priori contrasts in linear (mixed) models: A tutorial.2020Journal of Memory and Language, 110: 104038. DOI: 10.1016/j.jml.2019.104038
Schad, D.J., Betancourt, M., & Vasishth, S.Toward a principled Bayesian workflow: A tutorial for cognitive science.2021Psychological Methods, 26(1), 103-126. DOI: 10.1037/met0000275
Laurinavichyute, A., & von der Malsburg, T.Semantic Attraction in Sentence Comprehension.2022Cognitive Science, 46(2), e13086. DOI: 10.1111/cogs.13086
Schad, D. J., Nicenboim, B., Bürkner, P.-C., Betancourt, M., & Vasishth, S.Workflow techniques for the robust use of bayes factors.2022Psychological Methods. Advance Online Publication. DOI: 10.1037/met0000472
Vasishth, S., Yadav, H., Schad, D. J., & Nicenboim, B.Sample Size Determination for Bayesian Hierarchical Models Commonly Used in Psycholinguistics.2022Computational Brain & Behavior. DOI: 10.1007/s42113-021-00125-y
Laurinavichyute, A., Yadav, H., & Vasishth, S.Share the code, not just the data: A case study of the reproducibility of articles published in the Journal of Memory and Language under the open data policy.2022Journal of Memory and Language, 125, 104332. DOI: 10.1016/j.jml.2022.104332
Ciaccio, L. A., & Veríssimo, J.Investigating variability in morphological processing with Bayesian distributional models.2022Psychonomic Bulletin & Review. DOI: 10.3758/s13423-022-02109-w
Vasishth, S.Some Right Ways to Analyze (Psycho)Linguistic Data.2023Annual Review of Linguistics, 9(1), 273-291. DOI: 10.1146/annurev-linguistics-031220-010345
van Doorn, J., Haaf, J. M., Stefan, A. M., Wagenmakers, E.-J., Cox, G. E., Davis-Stober, C. P., et al.Bayes Factors for Mixed Models: a Discussion.2023Computational Brain & Behavior, 6(1), 140-158. DOI: 10.1007/s42113-022-00160-3
Chromý, J., Brand, J. L., Laurinavichyute, A., & Lacina, R.Number Agreement Attraction in Czech and English Comprehension: A Direct Experimental Comparison.2023Glossa: Psycholinguistics, 2(1), 14, 11-20. DOI: 10.5070/G6011235
Ziubanova, A. A., Laurinavichyute, A. K., & Parshina, O.Does early exposure to spoken and sign language affect reading fluency in deaf and hard-of-hearing adult signers?2023Frontiers in Psychology, 14. DOI: 10.3389/fpsyg.2023.1145638
Laurinavichyute, A., Ziubanova, A. A., & Lopukhina, A.Eye-Movement Suppression in the Visual World Paradigm.2024Open Mind: Discoveries in Cognitive Science, 8, 1012-1036. DOI: 10.1162/opmi_a_00157
Laurinavichyute, A., & von der Malsburg, T.Agreement attraction in grammatical sentences and the role of the task.2024Journal of Memory and Language, 137, 104525. DOI: 10.1016/j.jml.2024.104525
Lacina, R., Laurinavichyute, A., & Chromý, J.Only case-syncretic nouns attract: Czech and Slovak gender agreement.2025Journal of Memory and Language, 143, 104623. DOI: 10.1016/j.jml.2025.104623
Schad, D.J., Betancourt, M., & Vasishth, S.Toward a principled Bayesian workflow: A tutorial for cognitive science.2019
Schad, D. J., & Vasishth, S. The posterior probability of a null hypothesis given a statistically significant research result.2019arXiv preprint. DOI: 10.48550/arXiv.1901.06889
Vasishth, S.New directions in statistical analysis for experimental linguistics.2023London: Routledge DOI: 10.4324/9781003392972
Nicenboim, B., & Vasishth, S. Models of retrieval in sentence comprehension: A computational evaluation using Bayesian hierarchical modeling.2018Journal of Memory and Language, 99 (April 2018), 1-34. DOI: 10.1016/j.jml.2017.08.004
Nicenboim, B., Vasishth, S., Engelmann, F., & Suckow, K.Exploratory and confirmatory analyses in sentence processing: A case study of number interference in German.2018Cognitive Science, 42(Suppl. 4), 1075-1100. DOI: 10.1111/cogs.12589
Vasishth, S., Nicenboim, B., Beckman, M.E., Fangfang, L., & Kong, J.E.Bayesian data analysis in the phonetic sciences: A tutorial introduction.2018Journal of Phonetics, 71 (Special Issue: Emerging Data Analysis in Phonetic Sciences), 147-161. DOI: 10.1016/j.wocn.2018.07.008
Vasishth, S., & Engelmann, F.Sentence Comprehension as a Cognitive Process: A Computational Approach.2021Cambridge: Cambridge University Press.

Talks

AutorenTitelJahrErschienen inLinks
Schad, D., Betancourt, M., & Vasishth, S.Toward a principled Bayesian workflow in cognitive science.2019Paper presented at the 14. Tagung der Fachgruppe Methoden & Evaluation der Deutschen Gesellschaft für Psychologie (FGME 2019), Leibniz-Institut für die Pädagogik der Naturwissenschaften und Mathematik (IPN), Kiel, Germany. 15 - 18 September.
Vasishth, S.The role of replication in Bayesian data analysis.2019Invited talk at the Lecture Series Psychological Science, Winter-Term 2019/2020, University of Hamburg, Hamburg, Germany. 18 December.
Vasishth, S.Prenominal relatives clauses in Mandarin: Implications for theories of sentence processing.2019Invited talk at the GK Colloquium, Institut für Linguistik, Goethe-Universität Frankfurt, Frankfurt, Germany. 14 May.
Vasishth, S.Is pre-registration a bad idea or a very bad idea?2019Invited talk at the Humboldt-Universität zu Berlin, Berlin, Germany. 24 January.
Vasishth, S.Bayesian vs. frequentist data analysis: A comparison.2019Invited talk at the Block Seminar, SFB 1340 ''Matrix in Vision'', Berlin, Germany. 18 Januar.
Bürki, A., Elbuy, S., Madec, S., & Vasishth, S.What did we learn from forty years of research on semantic interference? A Bayesian meta-analysis.2020Poster presented at the 26th Architectures and Mechanisms of Language Processing (AMLaP 2020), University of Potsdam, Potsdam, Germany. 03 - 05 September.
Laurinavichyute, A.The reproducibility of psycholinguistic findings: Where are we now, and how do we move forward?2022Plenary talk at the Psycholinguistics of Slavic Languages Conference (PsychoSlav 2022), University of Tübingen, Tübingen, Germany. 14–16 July.
Laurinavichyute, A., Yadav, H., von der Malsburg, T., & Vasishth, S.The role of goal in sentence processing.2023Paper presented at the Architectures and Mechanisms of Language Processing (AMLaP 29) 2023, Kursaal Congress Centre, San Sebastián, Spain. 31 August - 2 September.
Laurinavichyute, A., Yadav, H., von der Malsburg, T., & Vasishth, S.Agreement attraction effects depend on the goal of processing.2023Poster presented at the 36th Annual Conference on Human Sentence Processing, University of Pittsburgh, Pittsburgh, PA, USA. 9 - 11 March (online).
Laurinavichyute, A., Yadav, H., & Vasishth, S.Share the code, not just the data.2023Poster presented at the 36th Annual Conference on Human Sentence Processing, University of Pittsburgh, Pittsburgh, PA, USA. 9 - 11 March (online).
Lacina, R., & Laurinavichyute, A.You’d better be syncretic! Gender agreement attraction in Czech and Slovak.2024Paper presented at the Psycholinguistics of Slavic Languages conference (PsychoSlav 2024), University of Wrocław, Wrocław, Poland. 9-11 July.
Laurinavichyute, A., & Say, S.Valency patterns in Russian: Cross-linguistic predictability meets language-specific acceptability.2024Paper presented at the 19th Slavic Cognitive Linguistics Conference, Jagiellonian University, Krakow, Poland. 13-15 November.
Lacina, R., Laurinavichyute, A., Brand, J., & Chromý, J.You’d better be syncretic! Gender agreement attraction in Czech and Slovak.2024Paper presented at the 17th conference on Formal Description of Slavic Languages (FDSL 17), Masaryk University, Brno, Czech Republic. 20-22 November.
Laurinavichyute, A.The reproducibility of findings in linguistics and psychology: Where are we now, and how do we move forward?2024Invited talk at the FAIR and Open Research Data and Software online-workshop, Online. 05 November.
Laurinavichyute, A.How do we know what we know about comprehension? 2025Panelist at the Nijmegen Lectures 2025, Max-Planck-Institute for Pycholinguistics, Nijmegen, The Netherlands. 07-09 January.

Kontakt

Universität Potsdam
Department Linguistik
Prof. Dr. Doreen Georgi
Karl-Liebknecht-Strasse 24-25
Haus 14, Raum 3.33
14476 Potsdam

(+49) 331 977-2968
doreen.georgi@uni-potsdam.de