The Composite Overfit Analysis Framework: Assessing the Out-of-Sample Generalizability of Construct-Based Models Using Predictive Deviance, Deviance Trees, and Unstable Paths.

MLA

Danks, Nicholas P., et al. “The Composite Overfit Analysis Framework: Assessing the Out-of-Sample Generalizability of Construct-Based Models Using Predictive Deviance, Deviance Trees, and Unstable Paths.” Management Science, vol. 70, no. 1, Jan. 2024, pp. 647–69. EBSCOhost, https://doi.org/10.1287/mnsc.2023.4705.

APA

Danks, N. P., Ray, S., & Shmueli, G. (2024). The Composite Overfit Analysis Framework: Assessing the Out-of-Sample Generalizability of Construct-Based Models Using Predictive Deviance, Deviance Trees, and Unstable Paths. Management Science, 70(1), 647–669. https://doi.org/10.1287/mnsc.2023.4705

Chicago

Danks, Nicholas P., Soumya Ray, and Galit Shmueli. 2024. “The Composite Overfit Analysis Framework: Assessing the Out-of-Sample Generalizability of Construct-Based Models Using Predictive Deviance, Deviance Trees, and Unstable Paths.” Management Science 70 (1): 647–69. doi:10.1287/mnsc.2023.4705.