Vol. 3 No. 1 (2023): Volume 3 Number 1

  • Marvin, L., Liu, H., & Depaoli, S. (2023). Using Bayesian Piecewise Growth Curve Models to Handle Complex Nonlinear Trajectories. Journal of Behavioral Data Science, 3(1), 1–33. https://doi.org/10.35566/jbds/v3n1/marvin
  • Ogasawara, H. (2023). On Some Known Derivations and New Ones for The Wishart Distribution: A Didactic. Journal of Behavioral Data Science, 3(1), 34–58. https://doi.org/10.35566/jbds/v3n1/ogasawara
  • Wyman, A., & Zhang, Z. (2023). API Face Value: Evaluating the Current Status and Potential of Emotion Detection Software in Emotional Deficit Interventions. Journal of Behavioral Data Science, 3(1), 59–69. https://doi.org/10.35566/jbds/v3n1/wyman
  • S, V. (2023). Predicting Dyslexia with Machine Learning: A Comprehensive Review of Feature Selection, Algorithms, and Evaluation Metrics. Journal of Behavioral Data Science, 3(1), 70–83. https://doi.org/10.35566/jbds/v3n1/s
  • McClure, K. (2023). Bayesian IRT in JAGS: A Tutorial. Journal of Behavioral Data Science, 3(1), 84–107. https://doi.org/10.35566/jbds/v3n1/mccure
DOI: https://doi.org/10.35566/jbds/v3n1
Published: 2022-12-19

Full Issue

Theory and Methods

  • Using Bayesian Piecewise Growth Curve Models to Handle Complex Nonlinear Trajectories

    Luca Marvin, Haiyan Liu, Sarah Depaoli (Author)
    1-33
    DOI: https://doi.org/10.35566/jbds/v3n1/marvin

  • On Some Known Derivations and New Ones for The Wishart Distribution: A Didactic

    Haruhiko Ogasawara (Author)
    34-58
    DOI: https://doi.org/10.35566/jbds/v3n1/ogasawara

Literature Review

Tutorials

  • Bayesian IRT in JAGS: A Tutorial

    Kenneth McClure (Author)
    84-107
    DOI: https://doi.org/10.35566/jbds/v3n1/mccure