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Supporting materials

Introduction to Bayesian Approach
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Specify a Linear Regression Model
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Specify a Linear Regression Model
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Recommended reading

  • Richard McElreath. (2020). Statistical Rethinking: A Bayesian Course with Examples in R and STAN (2nd Edition). CRC Press. https://doi.org/10.1201/978042902960
  • Kruschke, J. K. (2010). Bayesian data analysis. WILEY INTERDISCIPLINARY REVIEWS-COGNITIVE SCIENCE, 1(5), 658-676. https://doi.org/10.1002/wcs.72
  • Kruschke, J. K. (2010). What to believe: Bayesian methods for data analysis. TRENDS IN COGNITIVE SCIENCES, 14(7), 293-300. https://doi.org/10.1016/j.tics.2010.05.001
  • van de Schoot, R., Depaoli, S., King, R., Kramer, B., Märtens, K., Tadesse, M. G., Vannucci, M., Gelman, A., Veen, D., Willemsen, J., & Yau, C. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers, 1(1), 1. https://doi.org/10.1038/s43586-020-00001-2
  • van de Schoot, R., Kaplan, D., Denissen, J. J. A., Asendorpf, J. B., Neyer, F. J., & van Aken, M. A. G. (2014). A Gentle Introduction to Bayesian Analysis: Applications to Developmental Research. CHILD DEVELOPMENT, 85(3), 842-860. https://doi.org/10.1111/cdev.12169
  • Kruschke, J.K. (2021). Bayesian Analysis Reporting Guidelines. Nature Human Behavior, 5, 1282–1291. https://doi.org/10.1038/s41562-021-01177-7
  • Kruschke, J. K. (2011). Introduction to Special Section on Bayesian Data Analysis. PERSPECTIVES ON PSYCHOLOGICAL SCIENCE, 6(3), 272-273. https://doi.org/10.1177/1745691611406926
  • Yalch, M. M. (2023). Applying Bayesian Statistics to Research on Psychological Trauma: Introduction to the Special Section. PSYCHOLOGICAL TRAUMA-THEORY RESEARCH PRACTICE AND POLICY, 15(1), 56-59. https://doi.org/10.1037/tra0001359
  • Malone, H. E., & Coyne, I. (2023). Bayesian analysis for nurse and midwifery research: statistical, practical and ethical benefits. NURSE RESEARCHER, 31(1), 25-32. https://doi.org/10.7748/nr.2023.e1852
  • Peterson, S. K., & Kaplan, A. (2016). Bayesian analysis in educational psychology research: An example of gender differences in achievement goals. LEARNING AND INDIVIDUAL DIFFERENCES, 47, 129-135. https://doi.org/10.1016/j.lindif.2016.01.005
  • Tso, I. F., Taylor, S. F., & Johnson, T. D. (2021). Applying Hierarchical Bayesian Modeling to Experimental Psychopathology Data: An Introduction and Tutorial. JOURNAL OF ABNORMAL PSYCHOLOGY, 130(8), 923-936. https://doi.org/10.1037/abn0000707
  • Abeyta, S., & Cuevas, C. A. (2023). An Introductory Examination on the Differences Between Frequentist and Bayesian Multiple Regression Using Real-World Data on Bias-Based Victimization Among Latinx Adults. PSYCHOLOGICAL TRAUMA-THEORY RESEARCH PRACTICE AND POLICY, 15(1), 60-72. https://doi.org/10.1037/tra0001348
  • Grogan-Kaylor, A., Castillo, B., Ma, J., Ward, K. P., Lee, S. J., Pace, G. T., & Park, J. (2020). A Bayesian analysis of associations between neighborhoods, spanking and child externalizing behavior. Children and Youth Services Review, 112, 104930. https://doi.org/https://doi.org/10.1016/j.childyouth.2020.104930
  • Gunnesch-Luca, G., Paul, K. I., & Moser, K. (2023). A Bayesian Regression Analysis of the Effects of Narcissism on Group Performance. JOURNAL OF PERSONNEL PSYCHOLOGY. https://doi.org/10.1027/1866-5888/a000324
  • Maguen, S., Batten, A., Hubbard, A., Holder, N., Burkman, K., Cottonham, D., Purcell, N., Mehlman, H., & Shiner, B. (2023). Advancing health equity by understanding race disparities and other factors associated with PTSD symptom improvement following evidence-based psychotherapy. JOURNAL OF ANXIETY DISORDERS, 98, Article 102747. https://doi.org/10.1016/j.janxdis.2023.102747
  • Shi, S., Li, X., Fang, L., Liu, A., Su, G., Zhang, Y., Luobu, B., Ding, X., & Zhang, S. (2021). Genomic Prediction Using Bayesian Regression Models With Global-Local Prior. Frontiers in Genetics, 12, 628205–628205. https://doi.org/10.3389/fgene.2021.628205
  • Matsuura, K. (2022). Bayesian Statistical Modeling with Stan, R, and Python (1st ed. 2022.). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-4755-1
  • Xu, J. (2022). Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan (1st ed., Vol. 1). CRC Press. https://doi.org/10.1201/9780429056468