Computational Psychometrics

Golden, R. M. (submitted). Maximum likelihood estimation for possibly misspecified parameter redundant models. Submitted for publication.
Golden, R. M. (2024) MAP estimation using a possibly misspecified parameter redundant model. In M. Wilberg, J. Kim, H. Wang, H. Wu, and T. Sweet (Eds). Quantitative Psychology: The 88th Annual Meeting of the Psychometric Society, Maryland, USA.
Hosseinpour, R. and Golden, Richard M. (2024). Assessment of misspecification in CDMs using a Generalized Information Matrix Test. In M. Wilberg, J. Kim, H. Wang, H. Wu, and T. Sweet (Eds). Quantitative Psychology: The 88th Annual Meeting of the Psychometric Society, Maryland, USA.
Malaiya, R. (2024). Fitting a drift-diffusion Item Response Theory model to complex cognition response times. In M. Wilberg, J. Kim, H. Wang, H. Wu, and T. Sweet (Eds). Quantitative Psychology: The 88th Annual Meeting of the Psychometric Society, Maryland, USA.
Golden, R. M. Maximum likelihood estimation using a possibly misspecified parameter redundant model. Talk presented at the International Meeting of the Psychometric Society 2023, College Park, Maryland, July 2023.
Sudheesh, A. and Golden, R. M. Testing CDM local independence assumptions using nested model selection criteria. Poster presented at the International Meeting of the Psychometric Society 2023, College Park, Maryland, July 2023.
Hosseinpour, R. and Golden, R. M. Information matrix test misspecification assessment in Cognitive Diagnostic models. Poster presented at the International Meeting of the Psychometric Society 2023, College Park, Maryland, July 2023.
Malaiya, R. Fitting IRT Diffusion Model to complex cognition response times. Talk presented at the International Meeting of the Psychometric Society 2023, College Park, Maryland, USA, July 2023.
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. Estimating parameter confidence intervals in possibly misspecified parameter redundant models. Video talk presented at the Virtual Mathematical Psychology/ICCM 2022 Meeting, July 2022.
Pattisapu, C. and Golden, R. M. (2022). Regularized robust confidence interval estimation in Cognitive Diagnostic Models. Poster presented at the 2022 Psychometric Society Conference, Italy, July 2022.
Sudheesh, A., Golden, R.M. (2021). Exploring Temporal Functional Dependencies Between Latent Skills in Cognitive Diagnostic Models. In: Wiberg, M., Molenaar, D., González, J., Böckenholt, U., Kim, JS. (eds) Quantitative Psychology. Springer Proceedings in Mathematics & Statistics, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-030-74772-5_23
Malaiya, R.K., Golden, R.M. (2021). Simulation Studies of Item Bias Estimation Accuracy. In: Wiberg, M., Molenaar, D., González, J., Böckenholt, U., Kim, JS. (eds) Quantitative Psychology. Springer Proceedings in Mathematics & Statistics, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-030-74772-5_30
Golden, R. M. (2020). Statistical Machine Learning: A Unified Framework. Texts in Statistical Science Series. CRC Press.
Golden, R. M., S. Nandy, and V. Patel. (2019). Cross-validation nonparametric bootstrap study of the Linhart-Volkers-Zucchin out-of-sample prediction error formula for logistic regression modeling. In JSM Proceedings, Institute of Mathematical Statistics. Alexandria, VA: American Statistical Association. 1810-1824
Golden, R. M., Henley, S. S., White, H. L., & Kashner, T. M.. (2019). Consequences of Model Misspecification for Maximum Likelihood Estimation with Missing Data. Econometrics,7(3), 37. doi: 10.3390/econometrics7030037
Henley, S. S., Golden, R. M., and Kashner, T. M. (2019). Statistical modeling methods: Challenges and strategies. Biostatistics and Epidemiology, doi:.org/10.1080/24709360.2019.1618653 [36 pages]
Golden, R., Henley, S., White, H., & Kashner, T. (2016). Generalized Information Matrix Tests for Detecting Model Misspecification. Econometrics, 4(4), 46. doi: 10.3390/econometrics4040046
Golden, Richard, M., Nandy, Shaurabh, Patel, Vishal, and Viraktamath, Pratibha (2015). A Laplace approximation for approximate Bayesian model selection. Presented at the Advances in Approximate Bayesian Inference Workshop at the 2015 Neural Information Processing Systems Conference, Montreal, Quebec, Canada. [Workshop Paper]
Golden, R. M., Henley, S. S., White, H., & Kashner, T. M. (2013). New Directions in Information Matrix Testing: Eigenspectrum Tests. Recent Advances and Future Directions in Causality, Prediction, and Specification Analysis, 145–177. doi: 10.1007/978-1-4614-1653-1_6
Kashner, T. M., Henley, S. S., Golden, R. M., Byrne, J. M. Keitz, S. A., Cannon, G. W., Chang, B. K., Holland, G. J., Aron, D. C., Muchmore, E A., Wicker, A., and White, H. L. (2010). Studying the effects of ACGME duty hour limits on resident satisfaction: Results from VA learners’ perceptions survey. Academic Medicine, 85, 1130-1139. Supplemental Digital Content (Mathematical Appendix).
Townsend, James T., Golden, R. M., Wallsten, T. (2005). Quantitative training in psychology is deteriorating: Traditional methodologists, mathematical psychologistics, and psychology face a challenge. Psychological Science Agenda, 19 (9), American Psychological Association Online.
Golden, R. M. (2003). Discrepancy Risk Model Selection Test theory for comparing possibly misspecified or nonnested models. Psychometrika, 68(2), 229–249. doi: 10.1007/bf02294799
Golden, R. M. (2000). Statistical Tests for Comparing Possibly Misspecified and Nonnested Models. Journal of Mathematical Psychology, 44(1), 153–170. doi: 10.1006/jmps.1999.1281
Golden, R. M. (1995). Making Correct Statistical Inferences Using a Wrong Probability Model. Journal of Mathematical Psychology, 39(1), 3–20. doi: 10.1006/jmps.1995.1002