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F. (Frederik) Aust

Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Psychological Methods

  • Nieuwe Achtergracht 129
  • Postbus 15906
    1001 NK Amsterdam
  • Publicaties


    • Moran, T., Hughes, S., Hussey, I., Vadillo, M. A., Olson, M. A., Aust, F., Bading, K., Balas, R., Benedict, T., Corneille, O., Douglas, S. B., Ferguson, M. J., Fritzlen, K. A., Gast, A., Gawronski, B., Giménez-Fernández, T., Hanusz, K., Heycke, T., Högden, F., ... De Houwer, J. (2021). Incidental Attitude Formation via the Surveillance Task: A Preregistered Replication of the Olson and Fazio (2001) Study. Psychological Science, 32(1), 120-131. https://doi.org/10.1177/0956797620968526
    • van Doorn, J., Aust, F., Haaf, J. M., Stefan, A. M., & Wagenmakers, E. J. (2021). Bayes Factors for Mixed Models. Computational Brain and Behavior. https://doi.org/10.1007/s42113-021-00113-2



    • 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. https://doi.org/10.1037/xlm0000600 [details]


    • Klein, O., Hardwicke, T. E., Aust, F., Breuer, J., Danielsson, H., Mohr, A. H., Jzerman, H. I., Nilsonne, G., Vanpaemel, W., & Frank, M. C. (2018). A practical guide for transparency in psychological science. Collabra: Psychology, 4(1), [20]. https://doi.org/10.1525/collabra.158
    • 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. https://doi.org/10.1080/03637751.2017.1394581
    • Silberzahn, R., Uhlmann, E. L., Martin, D. P., Anselmi, P., Aust, F., Awtrey, E., Bahník, Bai, F., Bannard, C., Bonnier, E., Carlsson, R., Cheung, F., Christensen, G., Clay, R., Craig, M. A., Rosa, A. D., Dam, L., Evans, M. H., Cervantes, I. F., ... Nosek, B. A. (2018). Many analysts, one data set: Making transparent how variations in analytic choices affect results. Advances in Methods and Practices in Psychological Science, 1(3), 337-356. https://doi.org/10.1177/2515245917747646


    • 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(9), [160935]. https://doi.org/10.1098/rsos.160935


    • 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(5), 497-515. https://doi.org/10.1080/13803395.2015.1125453


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


    • 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. https://doi.org/10.1177/1071181311551360



    • Silberzahn, R., Molden, D., Lindsay, T. A., Awtrey, E., Witkowiak, M., Yoon, S., Bahn?k, S., Martin, D. P., Wagenmakers, E.-J., Evans, M. H., Pope, B., Nosek, B. A., Kalodimos, J., Robusto, E., Tauber, S., Carlsson, R., Cheung, F., Roderique, H., Hederos, K., … Bannard, C. (1-1-2018). SilberzahnSupplementalMaterial – Supplemental material for Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results. figshare SAGE Publications. https://doi.org/10.25384/sage.7007582.v1
    • Gordon-Mckeon, S., Mulder, L. B., Kennedy, D. M., Vianello, M., Nosek, B. A., Morey, R. D., Bannard, C., Sommer, S. A., Wagenmakers, E.-J., Sherman, M. F., Gamez-Djokic, M., Bai, F., Evans, M. H., Hofelich Mohr, M. A. J., Tauber, S., Anselmi, P., Cheung, F., Robusto, E., Molleman, E., … Madan, C. R. (1-1-2018). SilberzahnOpenPracticesDisclosure – Supplemental material for Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results. figshare SAGE Publications. https://doi.org/10.25384/sage.7007579.v1
    • Hofelich Mohr, M. A. J., Stafford, T., Sotak, K., Wagenmakers, E.-J., Liverani, S., Fong, N., Uhlmann, E. L., Heene, M., Yoon, S., Christensen, G., H?gden, F., Morey, R. D., Molden, D., Awtrey, E., Sp?rlein, C., Craig, M. A., Nosek, B. A., Sandberg, A., Roderique, H., … Mulder, L. B. (1-1-2018). Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results. figshare SAGE Publications. https://doi.org/10.25384/sage.c.4209926.v1
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
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