Recent publications and conference presentations.
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, pp. 1-10. DOI: 10.1080/10705511.2021.1977936.
Zhang, Y., M. H. C. Lai, and G. J. Palardy (2022). “A Bayesian region of measurement equivalence (ROME) approach for establishing measurement invariance.” In: Psychological Methods. DOI: 10.1037/met0000455.
Ji, Y., W. Luo, M. H. Lai, et al. (2021). “Model-Selection-Based Approaches to Identifying the Optimal Number of Factors in Multilevel Exploratory Factor Analysis”. In: Structural Equation Modeling: A Multidisciplinary Journal 28.5, pp. 763-777. DOI: 10.1080/10705511.2021.1916394.
Lai, M. H. C. (2021a). “Adjusting for Measurement Noninvariance with Alignment in Growth Modeling”. In: Multivariate Behavioral Research, pp. 1-18. DOI: 10.1080/00273171.2021.1941730.
Lai, M. H. C. (2021b). “Composite reliability of multilevel data: It’s about observed scores and construct meanings.” In: Psychological Methods 26.1, pp. 90-102. DOI: 10.1037/met0000287.
Lai, M. H. C. and Y. Hsiao (2021). “Two-Stage Path Analysis with Definition Variables”. In: Psychological Methods. DOI: 10.1037/met0000410. In press.
Lai, M. H. C., Y. Liu, and W. W. Tse (2021). “Adjusting for partial invariance in latent parameter estimation: Comparing forward specification search and approximate invariance methods”. In: Behavior Research Methods 54.1, pp. 414-434. DOI: 10.3758/s13428-021-01560-2.
Hsiao, Y., O. Kwok, and M. H. C. Lai (2020). “Modeling Measurement Errors of the Exogenous Composites From Congeneric Measures in Interaction Models”. In: Structural Equation Modeling: A Multidisciplinary Journal 28.2, pp. 250-260. DOI: 10.1080/10705511.2020.1782206.
Lai, M. H. C. (2020). “Bootstrap Confidence Intervals for Multilevel Standardized Effect Size”. In: Multivariate Behavioral Research 56.4, pp. 558-578. DOI: 10.1080/00273171.2020.1746902.
Lai, M. H. C. (2019). “Correcting Fixed Effect Standard Errors When a Crossed Random Effect Was Ignored for Balanced and Unbalanced Designs”. In: Journal of Educational and Behavioral Statistics 44.4, pp. 448-472. DOI: 10.3102/1076998619843168.
Lai, M. H., G. B. Richardson, and H. W. Mak (2019). “Quantifying the impact of partial measurement invariance in diagnostic research: An application to addiction research”. In: Addictive Behaviors 94, pp. 50-56. DOI: 10.1016/j.addbeh.2018.11.029.
Zhang, G., Yue, H., & Lai, M. H. C. (2021, July 19-23). A systematic review of measurement invariance research of the CES-D across gender [Poster presentation]. Virtual conference of the Psychometric Society (IMPS) due to covid-19. https://www.psychometricsociety.org/sites/main/files/file-attachments/imps_2021_virtual_schedule.pdf
Zhang, Y. & Lai, M. H. C. (2021, July 19-23). Classification Accuracy of multidimensional tests: Quantifying the impact of noninvariance [Oral presentation]. Virtual conference of the Psychometric Society (IMPS) due to covid-19. https://www.psychometricsociety.org/sites/main/files/file-attachments/imps_2021_virtual_schedule.pdf
Tse, W. W. & Lai, M. H. C. (2021, July 19-23). Incorporating uncertainty in design parameters: A hybrid classical-Bayesian power analysis approach for two-level cluster randomized trials [Oral presentation]. Virtual conference of the Psychometric Society (IMPS) due to covid-19. https://www.psychometricsociety.org/sites/main/files/file-attachments/imps_2021_virtual_schedule.pdf
Lai, M. H. C., Ji, F., & Chen, S. (2021, July 19-23). Obtaining reliability for daily diary data using multilevel factor analysis [Oral presentation]. Virtual conference of the Psychometric Society (IMPS) due to covid-19. https://www.psychometricsociety.org/sites/main/files/file-attachments/imps_2021_virtual_schedule.pdf
Hsiao, Y., Kwok, O., & Lai, M. H. C. (2021, April 8-12). Improving estimation accuracy of the tnteraction effects in models with composite scores [Structured poster session]. AERA Annual Meeting, Orlando, FL, United States. https://convention2.allacademic.com/one/aera/aera21
Lai, M. H. C. & Hsiao, Y. (2021, April). Two-stage path analysis with definition variables: A general framework for modeling with categorical indicators [Structured Poster Session]. AERA Annual Meeting, Orlando, FL, United States.
Wen, L., & Lai, M. H. C. (2021, April 8-12). A multilevel weighted bootstrap procedure to handle sampling weights [Paper session]. AERA Annual Meeting, Orlando, FL, United States. https://convention2.allacademic.com/one/aera/aera21
Lai, M. H. C. (2020, July). Multilevel bootstrap confidence intervals for standardized effect size [Paper Session]. Annual Meeting of the Psychometric Society (IMPS), College Park, MD, United States. Schedule
Tse, W. W. & Lai, M. H. C. (2020, July 14-17). Measurement Invariance for Ordered Categorical Variables: The Necessity of Strict Invariance for Valid Group Comparisons [Poster Session]. Annual Meeting of the Psychometric Society (IMPS), College Park, MD, United States. Schedule
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
Tse, W. W. & Lai, M. H. C. (2020, June 25-26). Measurement Invariance for Ordered Categorical Variables: The Necessity of Strict Invariance for Valid Group Comparisons [Conference Session]. A Meeting of Methodologies (AMOM), Vancouver, BC, Canada. Powerpoint slides
Lai, M. H. C. (2020, June 2-3). Constructing bootstrap confidence intervals for standardized effect size in cluster-randomized trials [Paper Session]. Modern Modeling Methods Conference (MMM), Storrs, CT, United States. (Conference canceled)
Tse, W. W. & Lai, M. H. C. (2020, June 2-3). Path to valid means comparisons: The necessity of strict measurement invariance for ordered categorical variables [Poster Session]. Modern Modeling Methods Conference (MMM), Storrs, CT, United States. (Conference canceled)
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)