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Results: 36
Number of items: 36
  • Open Access
    Borsboom, D., Blanken, T. F., Dablander, F., van Harreveld, F., Tanis, C. C., & Van Mieghem, P. (2022). The Lighting of the BECONs: A Behavioral Data Science Approach to Tracking Interventions in COVID-19 Research. Journal of Behavioral Data Science, 2(1), 1-34. https://doi.org/10.35566/jbds/v2n1/p1
  • Open Access
    Wagenmakers, E.-J., Gronau, Q. F., Dablander, F., & Etz, A. (2022). The Support Interval. Erkenntnis, 87(2), 589–601. https://doi.org/10.31234/osf.io/zwnxb, https://doi.org/10.1007/s10670-019-00209-z
  • Tanis, C. C., Leach, N. M., Geiger, S. J., Nauta, F. H., Dablander, F., van Harreveld, F., de Wit, S., Kanters, G., Knoppers, J., Markus, D. A. W., Bouten, R. R. M., Oostvogel, Q. H., Boersma, M. J., van der Steenhoven, M. V., Borsboom, D., & Blanken, T. F. (2021). Metadata record for: Smart Distance Lab's art fair, experimental data on social distancing during the COVID-19 pandemic [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.14312180.v1
  • Open Access
    Brown, J., Murray, D., Furlong, K., Coco, E., & Dablander, F. (2021). A breeding pool of ideas: Analyzing interdisciplinary collaborations at the Complex Systems Summer School. PLoS ONE, 16(2), Article e0246260. https://doi.org/10.1371/journal.pone.0246260
  • Open Access
    Blanken, T. F., Tanis, C. C., Nauta, F. H., Dablander, F., Zijlstra, B. J. H., Bouten, R. R. M., Oostvogel, Q. H., Boersma, M. J., van der Steenhoven, M. V., van Harreveld, F., de Wit, S., & Borsboom, D. (2021). Promoting physical distancing during COVID-19: a systematic approach to compare behavioral interventions. Scientific Reports, 11, Article 19463. https://doi.org/10.1038/s41598-021-98964-z
  • Open Access
    van Doorn, J., van den Bergh, D., Böhm, U., Dablander, F., Derks, K., Draws, T., Etz, A., Evans, N. J., Gronau, Q. F., Haaf, J. M., Hinne, M., Kucharský, Š., Ly, A., Marsman, M., Matzke, D., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Stefan, A., Voelkel, J. G., & Wagenmakers, E.-J. (2021). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin & Review, 28(3), 813–826. https://doi.org/10.3758/s13423-020-01798-5
  • Open Access
    Tanis, C. C., Leach, N. M., Geiger, S. J., Nauta, F. H., Dablander, F., van Harreveld, F., de Wit, S., Kanters, G., Knoppers, J., Markus, D. A. W., Bouten, R. R. M., Oostvogel, Q. H., Boersma, M. J., van der Steenhoven, M. V., Borsboom, D., & Blanken, T. F. (2021). Smart Distance Lab’s art fair, experimental data on social distancing during the COVID-19 pandemic. Scientific Data, 8, Article 179. https://doi.org/10.1038/s41597-021-00971-2
  • van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E.-J., Derks, K., Dablander, F., Gronau, Q. F., Kucharský, Š., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Voelkel, J. G., Stefan, A., Ly, A., Hinne, M., Matzke, D., & Wagenmakers, E.-J. (2020). A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP. Année Psychologique, 120(1), 73-96. https://doi.org/10.31234/osf.io/spreb, https://doi.org/10.3917/anpsy1.201.0073
  • Open Access
    Dablander, F., Ryan, O., & Haslbeck, J. M. B. (2020). Choosing between AR(1) and VAR(1) Models in Typical Psychological Applications. PLoS ONE, 15(10), Article e0240730. https://doi.org/10.1371/journal.pone.0240730
  • Open Access
    Ly, A., Stefan, A., van Doorn, J., Dablander, F., van den Bergh, D., Sarafoglou, A., Kucharský, S., Derks, K., Gronau, Q. F., Raj, A., Boehm, U., van Kesteren, E.-J., Hinne, M., Matzke, D., Marsman, M., & Wagenmakers, E.-J. (2020). The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test. Computational Brain & Behavior, 3(2), 153-161. https://doi.org/10.31234/osf.io/dhb7x, https://doi.org/10.1007/s42113-019-00070-x
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