alexchen Chen Sio In2025-10-14T14:35:39+08:00

Affiliation
| Faculty of Education |
| University of Macau |
| Accepting applications from PhD students |
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