Cheung, M. W.-L. (2007). Comparison of approaches to constructing confidence intervals for mediating effects using structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 14(2), 227-246. http://dx.doi.org/10.1080/10705510709336745.
Cheung, M. W.-L. (2008). A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modeling. Psychological Methods, 13(3), 182-202. http://dx.doi.org/10.1037/a0013163.
Cheung, M. W.-L. (2010). Fixed-effects meta-analyses as multiple-group structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 17(3), 481-509. http://dx.doi.org/10.1080/10705511.2010.489367.
Cheung, M. W.-L. (2013). Multivariate meta-analysis as structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 20(3), 429-454. http://dx.doi.org/10.1080/10705511.2013.797827.
Cheung, M. W.-L. (2014). Modeling dependent effect sizes with three-level meta-analyses: A structural equation modeling approach. Psychological Methods, 19(2), 211–229. https://doi.org/10.1037/a0032968
Cheung, M. W.-L. (2018a). Computing multivariate effect sizes and their sampling covariance matrices with structural equation modeling: Theory, examples, and computer simulations. Frontiers in Psychology, 9(1387).
Cheung, M. W.-L. (2018b). Issues in solving the problem of effect size heterogeneity in meta-analytic structural equation modeling: A commentary and simulation study on Yu, Downes, Carter, and O'Boyle (2016). Journal of Applied Psychology, 103(7), 787-803. http://dx.doi.org/10.1037/apl0000284
Cheung, M. W.-L. (2019). A guide to conducting a meta-analysis with non-independent effect sizes. Neuropsychology Review, 29(4), 387-396. https://doi.org/10.1007/s11065-019-09415-6
Cheung, M. W.-L. (2021a). Meta-analytic structural equation modeling. Oxford Research Encyclopedia of Business and Management, Oxford University Press. https://doi.org/10.1093/acrefore/9780190224851.013.225
Cheung, M. W.-L. (2021b). Structural equation modeling (SEM)-based meta-analysis. To appear in Hoyle, R. H. (Ed.) Handbook of Structural Equation Modeling (2nd edition).
Cheung, M. W.-L. (2022). Synthesizing indirect effects in mediation models with meta-analytic methods. Alcohol and Alcoholism, 57(1), 5-15. doi:/10.1093/alcalc/agab044
Cheung, M. W.-L. (2024). A tutorial on fitting flexible meta-analytic models with structural equation modeling in R. https://osf.io/preprints/psyarxiv/w9pc6
Cheung, M. W.-L. & Cheung, S.-F. (2016). Random effects models for meta-analytic structural equation modeling: Review, issues, and illustrations. Research Synthesis Methods, 7(2), 140–155. http://doi.org/10.1002/jrsm.1166.
Cheung, M. W.-L. & Hafdahl, A. R. (2016). Special issue on meta-analytic structural equation modeling: Introduction from the Guest Editors. Research Synthesis Methods, 7(2), 112–120. http://doi.org/10.1002/jrsm.1212.
Cheung, M. W.-L. & Hong, R. Y. (2017). Applications of meta-analytic structural equation modeling in health psychology: Examples, issues, and recommendations. Health Psychology Review, 11(3), 265-279. http://doi.org/10.1080/17437199.2017.1343678
Cheung, M. W.-L. & Jak, S. (2016). Analyzing big data in psychology: A split/analyze/meta-analyze approach. Frontiers in Psychology, 7 (738). http://doi.org/10.3389/fpsyg.2016.00738.
Cheung, M. W.-L. & Jak, S. (2023). Advanced meta-analytic techniques. https://osf.io/preprints/psyarxiv/b489w
Cheung, M. W.-L. & Vijayakumar, R. (2016). An introduction to when and how to conduct a meta-analysis. Neuropsychology Review, 26(2), 121–128. http://doi.org/10.1007/s11065-016-9319-z.
Hagger, H. S., Cheung, M. W.-L., Ajzen, I., & Hamilton, K. (2021). Moderation effects in the Theory of Planned Behavior: A meta-analysis in the health behavior domain. Health Psychology (accepted for publication).
Jak, S., & Cheung, M. W.-L. (2018). Testing moderator hypotheses in meta-analytic structural equation modeling using subgroup analysis. Behavior Research Methods, 50(4), 1359–1373. https://doi.org/10.3758/s13428-018-1046-3
Jak, S. & Cheung, M. W.-L. (2020). Meta-analytic structural equation modeling with moderating effects on SEM parameters. Psychological Methods, 25(4), 430–455. https://doi.org/10.1037/met0000245
Lim, A. & Cheung, M. W.-L. (2021). Evaluating FIML and multiple imputation in joint ordinal-continuous measurements models with missing data. Behavior Research Methods. doi:/10.3758/s13428-021-01582-w
Schutte N. S., Keng, S.-L. & Cheung, M. W.-L. (2021). Emotional intelligence mediates the connection between mindfulness and gratitude: A meta-analytic structural equation modelling study. Mindfulness, 12(11), 2613-2623. doi:/10.1007/s12671-021-01725-2
Valentine, J. C., Cheung, M. W.-L., Smith, E. J., Alexander, O., Hatton, J. M., Hong, R. Y., Huckaby, L. T., Patton, S. C., Pössel, P., & Seely, H. D. (2022). A primer on meta-analytic structural equation modeling: The case of depression. Prevention Science, 23, 346-365. doi:/10.1007/s11121-021-01298-5