Dipl.-Psych. Frederik Aust

Office hours
by appointment via email
3.38, IBW building
+49 221 470 5490

Dipl.-Psych. Frederik Aust


van Doorn, J., Aust, F., Haaf, J. M., Stefan, A., & Wagenmakers, E. (2021, February 22). Bayes Factors for Mixed Models. PsyArXiv doi: 10.31234/osf.io/y65h8 (PDF & supplementary material)

Heycke, T., Aust, F., Banaji, M. R., Cone, J., Van Dessel, P., Ferguson, M., … De Houwer, J. (2020). Of Two Minds: A registered replication. PsyArXiv doi: 10.31234/osf.io/v674w (PDF & supplementary material)

Stahl, C., Aust, F., Mierop, A., Béna, J., & Corneille, O. (2020). Moving beyond the Process-Dissociation procedure towards fine-grained memory and attitude measures in Evaluative Conditioning. PsyArXiv. doi: 10.31234/osf.io/rtqnx (PDF & supplementary material)

Stahl, C., Henze, L., & Aust, F. (2016). False memory for perceptually similar but conceptually distinct line drawings. PsyArXiv. doi: 10.17605/OSF.IO/ZR7M8 (PDF & supplementary material)

Peer-reviewed publications

Holcombe, A. O., Kovacs, M., Aust, F., & Aczel, B. (in press). Tenzing: documenting contributorship using CRediT. PLOS ONE. (PDF)

Moran, T., Hughes, S., Hussey, I., Vadillo, M. A., Olson, M. A., Aust, F., … De Houwer, J. (2020). Incidental Attitude Formation via the Surveillance Task: A Preregistered Replication of the Olson and Fazio (2001) Study. Psychological Science, 095679762096852. https://doi.org/10.1177/0956797620968526 (PDF & supplementary material)

Aust, F., & Stahl, C. (2020). The enhancing effect of caffeine on mnemonic discrimination is at best small. Memory. doi: 10.1080/09658211.2020.1781899 (PDF & supplementary material)

Alves, H., Högden, F., Gast, A., Aust, F., & Unkelbach, C. (2020). Attitudes from mere co-occurrences are guided by differentiation. Journal of Personality and Social Psychology, 119(3), 560–581. doi: 10.1037/pspa0000193 (PDF & supplementary material)

Aust, F., Haaf, J. M., & Stahl, C. (2019). A memory-based judgment account of expectancy-liking dissociations in evaluative conditioning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 45(3), 417-439. doi: 10.1037/xlm0000600 (PDF & supplementary material)

Stahl, C., & Aust, F. (2018). Evaluative conditioning as memory-based judgment. Social Psychological Bulletin, 13(3), e28589. doi: 10.5964/spb.v13i3.28589 (PDF)

Silberzahn, R., Uhlmann, E. L., Martin, D. P., Pasquale, Anselmi, P., Aust, F., … Nosek, B. A. (2018). Many analysts, one dataset: Making transparent how variations in analytical choices affect results. Advances in Methods and Practices in Psychological Science, 1(3), 337-356. doi: 10.1177/2515245917747646 (PDF & supplementary material)

Klein, O., Hardwicke, T. E., Aust, F., Breuer, J., Danielsson, H., Hofelich Mohr, A., … Frank, M. C. (2018). A Practical Guide for Transparency in Psychological Science. Collabra: Psychology4(1), 20. doi: 10.1525/collabra.158 (PDF & supplementary materiall)

Rouder, J. N., Haaf, J. M., & Aust, F. (2018). From theories to models to predictions: A Bayesian model comparison approach. Communication Monographs, 85(1), 41-56. doi: 10.1080/03637751.2017.1394581 (PDF)

Heycke, T., Aust, F., & Stahl, C. (2017). Subliminal influence on preferences? A test of evaluative conditioning for brief visual conditioned stimuli using auditory unconditioned stimuli. Royal Society Open Science, 4, 160935. doi: 10.1098/rsos.160935 (PDF & supplementary material)

Aust, F. & Edwards, J. D. (2016). Incremental validity of Useful Field of View subtests for the prediction of Instrumental Activities of Daily Living. Journal of Clinical and Experimental Neuropsychology, 38, 497-515. doi: 10.1080/13803395.2015.1125453 (PDF & supplementary material)

Aust, F., Diedenhofen, B., Ullrich, S. & Musch, J. (2013). Seriousness checks are useful to improve data validity in online research. Behavior Research Methods, 45, 527–535. doi: 10.3758/s13428-012-0265-2 (PDF)

Aust, F., Moehlenbrink, C. & Jipp, M. (2011). Operationalization of learned carelessness: An experimental approach. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 55, 1735–1739. doi: 10.1177/1071181311551360 (PDF)

R packages

  1. afex: Analysis of Factorial Experiments
  2. citr: ‘RStudio’ Add-in to Insert Markdown Citations
  3. multibridge: Evaluating Multinomial Order Restrictions with Bridge Sampling
  4. papaja: Prepare APA journal articles with R Markdown
  5. prereg: R Markdown Templates to Preregister Scientific Studies
  6. retractcheck: Retraction Scanner
  7. rmdfiltr: ‘Lua’-Filters for R Markdown

Further code contributions: bookdown, broom, ggeffects, MPTmultiverse, rmarkdown, Superpower

Invited talks and workshops

Aust, F. (2020, June). An alternative to copy-paste reporting: Create dynamic, submission-ready, APA-style manuscripts in R with papaja. Online workshop for Laboratoire Inter-universitaire de Psychologie.

Aust, F., & Barth, M. (2019, August). An alternative to copy-paste reporting: Create dynamic, submission-ready, APA-style manuscripts in R with papaja. Workshop given at European Conference on Visual Perception, Leuven, Belgium. (Workshop material)

Aust, F. & Breuer, J. (2019, July). Developing your personal workflow for transparent & reproducible research. Workshop given at SIPS 2019 Conference, Rotterdam, Netherlands. (Workshop material)

Aust, F. (2018, November). papaja: Prepare APA journal articles reproducibly with R Markdown. Workshop given at Behavioral Science Institute, Radboud University, Nijmegen, Netherlands.

Aust, F. (2018, September). A practical primer on transparent research workflows. Workshop given at EASP Solid Science Training Workshop, Bordeaux, France. (Workshop material)

Aust, F. & Breuer, J. (2018, September). A practical primer on transparent research workflows. Workshop given at ESCON Transfer of Knowledge Conference, Cologne, Germany. (Workshop material)

Aust, F. (2018, August). papaja: Prepare APA journal articles reproducibly with R Markdown. Workshop given at Linköping University, Linköping, Sweden.

Aust, F. (2017, November). papaja: Prepare APA journal articles reproducibly with R Markdown. Workshop given at the Peer Mentoring Projekt Methoden und Statistik, University of Zürich, Zürich, Switzerland.

Aust, F. (2017, Februar). A Global-Matching Account of Verbatim and Gist Processes in False Recognition. Paper presented at Quantitative Colloquim, Department of Psychological Sciences, University of Missouri, Columbia, MO.

Luhmann, M. & Aust, F. (2017, January). Data Visualization in R. Workshop given at the Society for Personality and Social Psychology’s Annual Convention, San Antonio, TX.

Ad-hoc reviewer

An independently verified list of journals for which I have served as ad-hoc reviewer is available at my Publons profile.