Vol. 4 No. 1 (2024): Volume 4 Number 1

					View Vol. 4 No. 1 (2024): Volume 4 Number 1

Marcoulides, K. M., & Trinchera, L. (2024). A Novel Approach for Identifying Unobserved Heterogeneity in Longitudinal Growth Trajectories Using Natural Cubic Smoothing Splines. Journal of Behavioral Data Science4(1), 1-18. https://doi.org/10.35566/jbds/marcoulides

Daniel, K., Moulder, R., Southward, M., Cheavens, J., & Boker, S. (2024). Stability and Spread: Transition Metrics that are Robust to Time Interval Misspecification. Journal of Behavioral Data Science4(1), 19-44. https://doi.org/10.35566/jbds/daniel

O'Neil, M., Cameron, D., Clauss, K., Krushnic, D., Baker-Robinson, W., Hannon, S., Cheney, T., Kaplan, J., Cook, L., Niederhausen, M., Pappas, M., & Cifu, D. (2024). A Proof-of-Concept Study Demonstrating How FITBIR Datasets Can be Harmonized to Examine Posttraumatic Stress Disorder-Traumatic Brain Injury Associations. Journal of Behavioral Data Science4(1), 45-62. https://doi.org/10.35566/jbds/oneil

Koh, D. (2024). Loss Aversion Distribution: The Science Behind Loss Aversion Exhibited by Sellers of Perishable Good. Journal of Behavioral Data Science4(1), 63-80. https://doi.org/10.35566/jbds/koh

Liu, Y., & Tong, X. (2024). A Tutorial on Bayesian Linear Regression with Compositional Predictors Using JAGS. Journal of Behavioral Data Science4(1), 81-104. https://doi.org/10.35566/jbds/tongliu

Published: 2024-01-28

Theory and Methods