Recent publications and conference presentations.
Lai, M. H. C. and Y. Hsiao (2022). “Two-stage path analysis with definition variables: An alternative framework to account for measurement error.” In: Psychological Methods 27.4, pp. 568-588. DOI: 10.1037/met0000410.
Lai, M. H. C., W. W. Tse, G. Zhang, et al. (2022). “Correcting for Unreliability and Partial Invariance: A Two-Stage Path Analysis Approach”. In: Structural Equation Modeling: A Multidisciplinary Journal, pp. 1-14. DOI: 10.1080/10705511.2022.2125397.
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, pp. 620-629. DOI: 10.1080/10705511.2021.1977936.
Lai, M. H. C., Y. Zhang, and F. Ji (2022). “Correcting for sampling error in between-cluster effects: An empirical Bayes cluster-mean approach with finite population corrections”.
DOI: 10.31234/osf.io/3m7hj.
Yu, B. C. L., F. H. N. Chio, K. K. Y. Chan, et al. (2022). “Associations between public and self-stigma of help-seeking with help-seeking attitudes and intention: A meta-analytic structural equation modeling approach.” In: Journal of Counseling Psychology. DOI: 10.1037/cou0000637.
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., 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.
Lai, M. H. C., Tse, W. W. Y., Zhang, G., Li, Y., & Hsiao, Y. Y. (2022, September 21-24). Correcting for unreliability and partial invariance: A two-stage path analysis approach [Symposium presentation]. Society for Research on Educational Effectiveness 2022 Conference, Arlington, VA, United States. https://www.psychometricsociety.org/sites/main/files/file-attachments/imps2022-version-7-abstract.pdf
Zhang, G., & Lai, M. H. C. (2022, July 11-15). A systematic review of measurement invariance research of the CES-D across gender: calculation and report of effect size [Oral presentation]. Annual Meeting of the Psychometric Society (IMPS), Bologna, Italy. https://www.psychometricsociety.org/sites/main/files/file-attachments/imps2022-version-7-abstract.pdf
Tse, W. W., & Lai, M. H. C. (2022, July 11-15). Incorporating information from historical data for power analysis: A hybrid classical-Bayesian approach for multilevel studies [Oral presentation]. Annual Meeting of the Psychometric Society (IMPS), Bologna, Italy. https://www.psychometricsociety.org/sites/main/files/file-attachments/imps2022-version-7-abstract.pdf
Zhang, Y., & Lai, M. H. C. (2022, July 11-15). Bayesian region of measurement equivalence (ROME) approach with alignment [Oral presentation]. Annual Meeting of the Psychometric Society (IMPS), Bologna, Italy. https://www.psychometricsociety.org/sites/main/files/file-attachments/imps2022-version-7-abstract.pdf
Tse, W. W., & Lai, M. H. C. (2022, June 27-29). Incorporating Uncertainty in power analysis to more realistically determine sample size [Workshop]. Meeting of the Society for the Improvement of Psychological Science (SIPS), Victoria, B. C., Canada. https://docs.google.com/document/d/1Rka3f0ZY9BBZVIlZoVINrpyaJYeitpq1yKXBLukeMng
Zhang, Y., & Lai, M. H. C. (2022, April 21-26). Evaluating standard error estimators and resampling method for multilevel models on small samples with heteroscedasticity and unbalanced cluster sizes [Poster presentation]. AERA Annual Meeting, San Diego, CA, United States. https://convention2.allacademic.com/one/aera/aera22
Palardy, G. J., Zhang, Y., & Lai, M. H. C. (2022, April 21-26). Measurement invariance testing via the alignment method: Intersectional grouping and multiple cohorts [oral presentation]. AERA Annual Meeting, San Diego, CA, United States. https://convention2.allacademic.com/one/aera/aera22
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)