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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

Engbert
Prof. Dr. Ralf Engbert
Campus GolmHaus 14, Raum 4.03
(+49) 331 977-2140
Laurinavichyute
Dr. Anna Laurinavichyute
Campus GolmHaus 14, Raum 3.36
Vasishth
Prof. Dr. Shravan Vasishth
Campus GolmHaus 14, Raum 2.34
(+49) 331 977-2457
Ziegert
David Ziegert
Campus GolmHaus 14, Raum 3.34
(+49) 331 977-231118

Publikationen

  • Peer-Reviewed: Papers, Journals, Books, Articles of the CRC
  • Talk or Presentation: Talks, Presentations, Posters of the CRC
  • SFB-Related: not produced in connection with the CRC, but are thematically appropriate
  • Other: Papers, Journals, Books, Articles of the CRC, but not peer-reviewed
Author(s)TitleYearPublished inLinksType
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
Peer-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.12800
Peer-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.2018.07.004
Peer-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.2019.104063
Peer-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.2020.100850
Peer-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.2020.104125
Peer-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.2019.104038
Peer-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/met0000275
Peer-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.2018.06.001
Peer-Reviewed
Schad, D.J., Betancourt, M., & Vasishth, S.Toward a principled Bayesian workflow: A tutorial for cognitive science.2019
Other
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.13086
Peer-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-y
Peer-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.2022.104332
Peer-Reviewed
Ciaccio, L. A., & Veríssimo, J.Investigating variability in morphological processing with Bayesian distributional models.2022Psychonomic Bulletin & Review. DOI: 10.3758/s13423-022-02109-w
Peer-Reviewed
Vasishth, ShravanSome Right Ways to Analyze (Psycho)Linguistic Data.2023Annual Review of Linguistics, 9(1), 273-291. DOI: 10.1146/annurev-linguistics-031220-010345
Peer-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/s42113-022-00160-3
Peer-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/G6011235
Peer-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.2023.1145638
Peer-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