My recent publications and conference presentations.
Ozturk, E. D., Y. Zhang, M. H. C. Lai, et al. (2023). “Measurement Invariance of the Neurobehavioral Symptom Inventory in Male and Female Million Veteran Program Enrollees Completing the Comprehensive Traumatic Brain Injury Evaluation”. In: Assessment. DOI: 10.1177/10731911231198214.
Zhang, Y., M. H. C. Lai, and G. J. Palardy (2023). “A Bayesian region of measurement equivalence (ROME) approach for establishing measurement invariance.” In: Psychological Methods 28.4, pp. 993-1004. DOI: 10.1037/met0000455.
Zhang, Y., W. W. Tse, and M. H. C. Lai (2023). “Bootstrap methods for multilevel data when asymptotic distributional assumptions are not tenable”. Dependent Data in Social Sciences Research: Forms, Issues, and Methods of Analysis.(Under review).
Lai, M. H. C. and Y. Zhang (2022). “Classification Accuracy of Multidimensional Tests: Quantifying the Impact of Noninvariance”. In: Structural Equation Modeling: A Multidisciplinary Journal 29.4, pp. 620-629. DOI: 10.1080/10705511.2021.1977936.
Tse, W. W., M. H. C. Lai, and Y. Zhang (2022). “Does strict invariance matter? valid group mean comparisons with ordered-categorical items”. (Accepted on 09/18/2023 by Behavior Research Methods).
Zhang, Y. and M. H. C. Lai (2022). “Evaluating Standard Error Estimators for Multilevel Models on Small Samples With Heteroscedasticity and Unbalanced Cluster Sizes”. (Revision; Submitted to Behavior Research Methods).
Lai, M. H. C., Y. Zhang, and J. Feng (2021). “Adjusting for measurement error in cluster means in multilevel modeling: Two numerically stable alternatives to latent-mean centering.” (Second round revision submitted; Multivariate Behavioral Research).
Zhang, Y. & Lai, M. H. C. (2023, July 25-28). Alignment with Bayesian Region of Measurement Equivalence (ABROME) Approach for Multiple Groups Comparisons [Oral Presentation]. Annual Meeting of the Psychometric Society (IMPS), College Park, Maryland.
Zhang, Y., Kim, Y., & Zheng, X. (2023, April 12-15). Investigating Measurement Invariance in NAEP Student Questionnaire Index Items [Oral Presentation]. The National Council on Measurement in Education (NCME), Chicago, Illinois.
Lai, M. H. C., Zhang, Y., & Feng J.(2023, April 13-16). An empirical Bayes cluster-mean approach to correct for sampling error in between-cluster effects [Poster session]. American Educational Research Association Annual Meeting (AERA), Chicago, Illinois.
Zhang, Y. & Lai, M. H. C. (2022, July 11-15). Bayesian Region of Measurement Equivalence Approach with Alignment [Oral Presentation]. Annual Meeting of the Psychometric Society (IMPS), Bologna, Italy.
Zhang, Y. & Lai, M. H. C. (2022, July 11-15). Inferences with Multilevel Model: What if You have Small, Unbalanced, Heteroscedastic Samples? [Poster Presentation]. Annual Meeting of the Psychometric Society (IMPS), Bologna, Italy.
Zhang, Y. & Lai, M. H. C. (2022, April 21-26). Evaluating Standard Error Estimators for Multilevel Models on Small Samples With Heteroscedasticity and Unbalanced Cluster Sizes. American Educational Research Association Annual Meeting, San Diego, Ca, United States.