Sonderforschungsbereich 1287 Die Grenzen der Variabilität in der Sprache: Kognitive, komputationale und grammatische Aspekte

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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

no photoProf. Dr. Ralf Engbert
Universität PotsdamCampus GolmHaus 14, Raum 4.03
(+49) 331 977-2140 ralf.engbert@uni-potsdam.de
no photoDr. Anna Laurinavichyute
Universität PotsdamCampus GolmHaus 14, Raum 3.36
no photoProf. Dr. Shravan Vasishth
Universität PotsdamCampus GolmHaus 14, Raum 2.34
no photo David Ziegert
Universität PotsdamCampus GolmHaus 14, Raum 3.34
(+49) 331 977-231118 david.ziegert@uni-potsdam.de

Publikationen

  • Peer-Reviewed: Paper, Zeitschriften, Bücher, Artikel des SFB
  • Talk or Presentation: Vorträge, Präsentationen, Poster des SFB
  • SFB-Related: nicht im Rahmen des SFB produziert, sind aber thematisch passend
  • Other: Paper, Zeitschriften, Bücher, Artikel des SFB, jedoch nicht peer-reviewed
Arten von Veröffentlichungen
AutorenTitelJahrErschienen inTypLinks
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.02134Peer-Reviewed
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.12800Peer-Reviewed
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.2018.07.004Peer-Reviewed
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.2019.104063Peer-Reviewed
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.2020.100850Peer-Reviewed
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.2020.104125Peer-Reviewed
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.2019.104038Peer-Reviewed
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/met0000275Peer-Reviewed
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.2018.06.001Peer-Reviewed
Schad, D.J., Betancourt, M., & Vasishth, S.Toward a principled Bayesian workflow: A tutorial for cognitive science.2019Other
Schad, D. J., & Vasishth, S. The posterior probability of a null hypothesis given a statistically significant research result.2019arXiv preprint.Other
Schad, D. J., Hohenstein, S., Vasishth, S., & Kliegl, R.How to capitalize on a priori contrasts in linear (mixed) models: A tutorial.2018arXiv preprint.Other
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.2017.08.004SFB-Related
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.12589SFB-Related
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.2018.07.008SFB-Related
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.Talk or Presentation
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.Talk or Presentation
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.Talk or Presentation
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.Talk or Presentation
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.Talk or Presentation
Vasishth, S.Bayesian vs. frequentist data analysis: A comparison.2019Invited talk at the Block Seminar, SFB 1340 ''Matrix in Vision'', Berlin, Germany. 18 Januar.Talk or Presentation
Laurinavichyute, A., & von der Malsburg, T.Semantic Attraction in Sentence Comprehension.2022Cognitive Science, 46(2), e13086. DOI: 10.1111/cogs.13086Peer-Reviewed
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/met0000472Peer-Reviewed
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-yPeer-Reviewed
Vasishth, S., & Engelmann, F.Sentence Comprehension as a Cognitive Process: A Computational Approach.2021Cambridge: Cambridge University Press.SFB-Related
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.2022.104332Peer-Reviewed
Ciaccio, L. A., & Veríssimo, J.Investigating variability in morphological processing with Bayesian distributional models.2022Psychonomic Bulletin & Review. DOI: 10.3758/s13423-022-02109-wPeer-Reviewed
Vasishth, S.Some Right Ways to Analyze (Psycho)Linguistic Data.2023Annual Review of Linguistics, 9(1), 273-291. DOI: 10.1146/annurev-linguistics-031220-010345Peer-Reviewed
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/s42113-022-00160-3Peer-Reviewed
Vasishth, S.New directions in statistical analysis for experimental linguistics.2023London: Routledge DOI: 10.4324/9781003392972Other
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/G6011235Peer-Reviewed
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.2023.1145638Peer-Reviewed
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.Talk or Presentation
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).Talk or Presentation
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).Talk or Presentation
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_00157Peer-Reviewed
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.2024.104525Peer-Reviewed
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. Talk or Presentation
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.Talk or Presentation
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.Talk or Presentation
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.Talk or Presentation
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. Talk or Presentation
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. Talk or Presentation
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.2025.104623Peer-Reviewed