Ordinal models

Models for ordered outcomes

Author

Affiliation

Matti Vuorre ORCID ID

University of Oxford

Published

Oct. 21, 2020

Citation

Vuorre, 2020

Slide deck

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Footnotes

    References

    Bürkner, Paul-Christian, and Matti Vuorre. 2019. “Ordinal Regression Models in Psychology: A Tutorial.” Advances in Methods and Practices in Psychological Science 2 (1): 77–101. https://doi.org/10.1177/2515245918823199.

    Forstmann, Matthias, Daniel A. Yudkin, Annayah M. B. Prosser, S. Megan Heller, and Molly J. Crockett. 2020. “Transformative Experience and Social Connectedness Mediate the Mood-Enhancing Effects of Psychedelic Use in Naturalistic Settings.” Proceedings of the National Academy of Sciences 117 (5): 2338–46. https://doi.org/10.1073/pnas.1918477117.

    Kruschke, John K. 2014. Doing Bayesian Data Analysis: A Tutorial Introduction with R. 2nd Edition. Burlington, MA: Academic Press.

    Liddell, Torrin M., and John K. Kruschke. 2018. “Analyzing Ordinal Data with Metric Models: What Could Possibly Go Wrong?” Journal of Experimental Social Psychology 79 (November): 328–48. https://doi.org/10.1016/j.jesp.2018.08.009.

    McElreath, Richard. 2020. Statistical Rethinking: A Bayesian Course with Examples in R and Stan. 2nd ed. CRC Texts in Statistical Science. Boca Raton: Taylor; Francis, CRC Press.

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    Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/mvuorre/brms-workshop, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

    Citation

    For attribution, please cite this work as

    Vuorre (2020, Oct. 22). brms workshop: Ordinal models. Retrieved from https://mvuorre.github.io/brms-workshop/posts/ordinal/

    BibTeX citation

    @misc{vuorre2020ordinal,
      author = {Vuorre, Matti},
      title = {brms workshop: Ordinal models},
      url = {https://mvuorre.github.io/brms-workshop/posts/ordinal/},
      year = {2020}
    }