Publications

My recent publications and conference presentations.

Peer-Reviewed Articles

2025

Lai, M. H. C., Y. Zhang, M. Ozcan, et al. (2025). “f MACS  : Generalizing d MACS Effect Size for Measurement Noninvariance with Multiple Groups and Multiple Grouping Variables”. In: Structural Equation Modeling: A Multidisciplinary Journal, p. 1–9. ISSN: 1532-8007. DOI: 10.1080/10705511.2025.2484812.

2024

Lai, M. H. C., Y. Zhang, and F. Ji (2024). “Correcting for Sampling Error in between-Cluster Effects: An Empirical Bayes Cluster-Mean Approach with Finite Population Corrections”. In: Multivariate Behavioral Research 59.3, p. 584–598. ISSN: 1532-7906. DOI: 10.1080/00273171.2024.2307034.

Zhang, Y. and M. H. C. Lai (2024a). “Bayesian Region of Measurement Equivalence (ROME) approach with alignment”. (Under Review).

Zhang, Y. and M. H. C. Lai (2024b). “Evaluating two small-sample corrections for fixed-effects standard errors and inferences in multilevel models with heteroscedastic, unbalanced, clustered data”. In: Behavior Research Methods 56.6, p. 5930–5946. ISSN: 1554-3528. DOI: 10.3758/s13428-023-02325-9.

Zhang, Y., W. W. Tse, and M. H. C. Lai (2024). “Bootstrap methods for multilevel data when asymptotic distributional assumptions are not tenable”. Dependent Data in Social Sciences Research: Forms, Issues, and Methods of Analysis.

2023

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 31.5, p. 967–979. ISSN: 1552-3489. DOI: 10.1177/10731911231198214.

Tse, W. W., M. H. C. Lai, and Y. Zhang (2023). “Does strict invariance matter? Valid group mean comparisons with ordered-categorical items”. In: Behavior Research Methods 56.4, p. 3117–3139. ISSN: 1554-3528. DOI: 10.3758/s13428-023-02247-6.

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, p. 993–1004. ISSN: 1082-989X. DOI: 10.1037/met0000455.

2022

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, p. 620–629. ISSN: 1532-8007. DOI: 10.1080/10705511.2021.1977936.

Conference Presentations

2025

• Zhang, Y., & Lai, M. H. C. (2025, April 23-26). Bayesian Region of Measurement Equivalence (ROME) Framework With Multilevel Confirmatory Factor Analysis [Poster Session]. The National Council on Measurement in Education (NCME), Dever, Colorado.

2024

• Zhang, Y., & Wolfe, E. W. (2024, April 11-14). Evaluating subgroup analysis indices and guidelines for automated scoring algorithm [Poster session]. The National Council on Measurement in Education (NCME), Philadelphia, Pennsylvania.

2023

• 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.

2022

• 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.

2021

• Zhang, Y. & Lai, M. H. C. (2021, August 12-14). Classification accuracy of multidimensional tests: Quantifying the impact of noninvariance [Poster Session]. American Psychological Association Annual Convention (APA), Online.
• Zhang, Y. & Lai, M. H. C. (2021, July 20-23). Classification accuracy of multidimensional tests: Quantifying the impact of noninvariance [Oral Presentation]. Annual Meeting of the Psychometric Society (IMPS), College Park, MD, United States.
• Zhang, R., Zhang, Y., & Lalonde, R. (2021, July 27-31). Examining multiculturalism-creativity link from the perspective of challenge and threat appraisals [Oral Presentation]. International Association of Cross-Cultural Psychology (IACCP), online.

2020

• Zhang, Y. & Lai, M. H. C. (2020, July 14-17). A Bayesian Region of Measurement Equivalence (ROME) Approach for Establishing Measurement Invariance [Poster Session]. Annual Meeting of the Psychometric Society (IMPS), College Park, MD, United States. Schedule
• Zhang, Y. & Lai, M. H. C. (2020, June 2-3). A Bayesian Region of Measurement Equivalence (ROME) Approach for Establishing Measurement Invariance [Poster Session]. Modern Modeling Methods Conference (MMM), Storrs, CT, United States. (Conference canceled)