Areas of Research

Our current research focus is the multidisciplinary field of Computational Psychometrics which uses the methods of psychometrics, cognitive science, usability engineering, mathematical statistics, and statistical machine learning to address problems in understanding and identifying probabilistic models of human knowledge, human learning models, and human information processing.

Recent Talks and Publications

• Golden, R. M. (2025). AI and Cognitive Diagnostic Models for Educational Assessment: Connections, Integrations, and New Directions. Symposium on “Bridging Theory and Practice: Fostering Innovation in Diagnostic Measurement to Enhance Education”. 2025 National Council on Measurement in Education Conference. Denver, Colorado.
  
• Golden, R. M. (2024) Maximum likelihood estimation using a possibly misspecified parameter redundant model. To appear in M. Wilberg et al. (Eds.) in Quantitative Psychology: The 88th Annual Meeting of the Psychometric Society. Springer Proceedings in Mathematics & Statistics. Springer Nature. Switzerland.
  
• Hosseinpour, R. and Golden, Richard M. (2024). Assessment of misspecification in CDMs using a Generalized Information Matrix Test. To appear in Quantitative Psychology: The 88th Annual Meeting of the Psychometric Society. To appear in M. Wilberg et al. (Eds.) in Quantitative Psychology: The 88th Annual Meeting of the Psychometric Society. Springer Proceedings in Mathematics & Statistics. Springer Nature. Switzerland.
  
• Malaiya, R. (2024). Fitting a drift-diffusion Item Response Theory model to complex cognition response times. To appear in M. Wilberg et al. (Eds.) in Quantitative Psychology: The 88th Annual Meeting of the Psychometric Society. Springer Proceedings in Mathematics & Statistics. Springer Nature. Switzerland.
  
• Golden, R. M. Inferring Causal Relationships from Observational Data Sets. Talk presented at the Frontiers in Brain Health Lecture Series, Center for Brain Health, University of Texas at Dallas, Dallas, Texas, May 19, 2023. Click here to watch the lecture!
  
• Fox, C. P. and Golden, R. M. (2023). Regularized robust confidence interval estimation in Cognitive Diagnostic Models. In M. Wibert, D. Molenaar, J. Gonzale, S. Kim, & H. Hwang (Eds.). Quantitative Psychology: The 87th Annual Meeting of the Psychometric Society, 42, 233-242. Springer Proceedings in Mathematics and Statistics. https://doi.org/10.1007/978-3-031-27781-8_21
  
• Golden, R. M. (2020). Statistical Machine Learning: A Unified Framework. Texts in Statistical Science Series. CRC Press.