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This project will provide support to the CRC by (a) advising other projects on experiment design, (b) helping projects to preregister their primary statistical analyses using the Open Science Foundation (https://osf.io/), (c) providing training in carrying out these analyses, and (d) helping with the post-publication data management and archiving for use in the public domain. This will be achieved through four work packages that (1) provide support to the CRC for optimising experiment design and analysis, (2) provide statistical education within the CRC, (3) assist in developing and maintaining a data repository to ensure preregistration, open access of data and code, and reproducibility, and (4) develop new statistical methods and computational tools, and software packages needed for the CRC, which will be provided for the public domain.
Department of Psychology
House 14, Room 4.03
House 14, Room 3.34
|Nicenboim, B. ; Roettger, T.B. & Vasishth, S.||Using meta-analysis for evidence synthesis: The case of incomplete neutralization in German.||Journal of Phonetics||2018||[Download]|
|Schad, D. J. ; Hohenstein, S. ; Vasishth, S. & Kliegl, R.||How to capitalize on a priori contrasts in linear (mixed) models: A tutorial.||arXiv preprint arXiv:1807.10451.||2018||[Download]|
|Vasishth, S. ; Nicenboim, B. ; Beckman, M.E. ; Fangfang, L. ; & Jong Kong, E.||Bayesian data analysis in the phonetic sciences: A tutorial introduction.||Journal of Phonetics||2018||[Download]|
|Vasishth, S. ; Mertzen, D. ; Jäger, L.A. & Gelman, A.||The statistical significance filter leads to overoptimistic expectations of replicability.||Journal of Memory and Language||2018||[Download]|