2025-10-14T14:35:39+08:00

Affiliation

Faculty of Education
University of Macau
Accepting applications from PhD students

Email

marklai@um.edu.mo

Tel

(853) 8822 8982

Fax

(853) 8822 2402

Office

Room 3030, Faculty of Education,

University of Macau, E33,

Av. da Universidade, Taipa, Macau, China

Mark Hok Chio LAI 黎學昭

Associate Professor
Faculty of Education, University of Macau

Academic Qualifications

  • Ph.D. in Educational Psychology, Texas A&M University, 2015
  • B.Soc.Sc. in Psychology, University of Macau, 2011

Teaching Areas

  • Measurement and psychometrics
  • Statistics

Current Research

  • Measurement bias and its impact on decision making
  • Multilevel and latent variable modelling
  • Methods for data harmonisation and integrative data analysis
  • Growth modelling of complex longitudinal data
  • Bayesian data analysis for behavioural research

Selected Publications

  • Lai, M. H. C., *Zhang, Y., *Ozcan, M., *Tse, W., & *Miles, A. (2025). fMACS: Generalizing dMACS effect size for measurement noninvariance with multiple groups and multiple grouping variables. Structural Equation Modeling. Advance online publication. https://doi.org/10.1080/10705511.2025.2484812
  • Lai, M. H. C., & *Tse, W. W. Y. (2024). Are factor scores measurement invariant? Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000658
  • Lai, M. H. C., & *Hsiao, Y.-Y. (2022). Two-stage path analysis with definition variables: An alternative framework to account for measurement error. Psychological Methods, 27(4), 568–588. https://doi.org/10.1037/met0000410
  • Lai, M. H. C. (2021). Bootstrap confidence interval for multilevel standardized effect size. Multivariate Behavioral Research, 56(4), 558–578. https://doi.org/10.1080/00273171.2020.1746902
  • Lai, M. H. C. (2021). Composite reliability of multilevel data: It’s about observed scores and construct meanings. Psychological Methods, 26(1), 90–102. https://doi.org/10.1037/met0000287
  • Lai, M. H. C., Richardson, G. B., & Mak, H. W. (2019). Quantifying the impact of partial measurement invariance for addiction research. Addictive Behaviors, 94, 50–56. https://doi.org/10.1016/j.addbeh.2018.11.029
  • Lai, M. H. C. & Kwok, O. (2015). Examining the rule of thumb of not using multilevel modeling: The “design effect smaller than two rule”. Journal of Experimental Education, 83, 423–438. https://doi.org/10.1080/00220973.2014.907229

Honors and Awards

  • Outstanding Reviewer, Journal of Educational and Behavioral Statistics
  • Distinguished Honor Graduate, College of Education and Human Development, Texas A&M University
  • Postgraduate Scholarships, Macao Tertiary Education Services Office
  • Rector’s Honor List, University of Macau