Wallin, G., & Bhaktha, N. (2026). A Latent Variable Model for Response Times with Individual-Specific Change-Points. arXiv preprint arXiv:2605.29182. Under review in Psychometrika. (link)
Uanhoro, J. O. & Bhaktha, N. (2026). Regression Calibration Outperforms Plausible Values for Regression with Scores from Short Scales. Under review in Behavior Research Methods. (link)
Majumdar, S. & Bhaktha, N. (2026). Longitudinal Evaluation of Large Language Models. Under review in Transactions of Machine Learning Research.
Bhaktha, N., Silber, H., & Lechner, C. M. (2026). A unified framework for characterizing response quality in surveys with multi-item scales. Nature Communications Psychology, 4(1), 86. (link)
Groskurth, K., Bhaktha, N., & Lechner, C. M. (2025). The simulation-cum-ROC approach: A new approach to generate tailored cutoffs for fit indices through simulation and ROC analysis. Behavior Research Methods, 57(5): 1-28. (link)
Bhaktha, N. & Lechner, C. M. (2021). To Score or Not to Score? A Simulation Study on the Performance of Test Scores, Plausible Values, and SEM, in Regression With Socio-Emotional Skill or Personality Scales as Predictors. Frontiers in Psychology. (link)
Lechner, C., Bhaktha, N., Groskurth, K. & Bluemke, M. (2021). Why ability point estimates can be pointless: a primer on using skill measures from large-scale assessments in secondary analyses. Measurement Instruments for the Social Sciences, 3(1), 1-16. (link)
O'Connell, A. A., Bhaktha, N., & Zhang, J. (2021). Deciding between Multilevel Poisson and Multilevel Negative Binomial Models: Guiding Questions for Researchers. Society for Research on Educational Effectiveness.
Bhaktha, N. (2018). Properties of hurdle negative binomial models for zero-inflated and overdispersed count data. (link)