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Multivariate Behavioral Research|January 22, 2019
Four Covariance Structure Models for Canonical Correlation Analysis: A COSAN Modeling ApproachFei Gu, Yiu-Fai Yung, Mike W-L CheungMultivariate Behavioral Research|December 11, 2022
Statistical Inference in Redundancy Analysis: A Direct Covariance Structure Modeling ApproachFei Gu, Yiu-Fai Yung, Mike W-L Cheung, et al.Behavior Research Methods|July 19, 2012
A SAS/IML program using the Kalman filter for estimating state space modelsFei Gu, Yiu-Fai YungThe British Journal of Mathematical and Statistical Psychology|February 6, 2023
A model-based approach to multivariate principal component regression: Selecting principal components and estimating standard errors for unstandardized regression coefficientsFei Gu, Mike W-L CheungMultivariate Behavioral Research|January 8, 2016
A Computationally Efficient State Space Approach to Estimating Multilevel Regression Models and Multilevel Confirmatory Factor ModelsFei Gu, Kristopher J Preacher, Wei Wu, et al.The British Journal of Mathematical and Statistical Psychology|February 4, 2014
Fitting direct covariance structures by the MSTRUCT modeling language of the CALIS procedureYiu-Fai Yung, Michael W Browne, Wei ZhangAlcohol and Alcoholism (Oxford, Oxfordshire)|June 30, 2021
Synthesizing Indirect Effects in Mediation Models With Meta-Analytic MethodsMike W-L CheungPsychological Methods|September 10, 2008
A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modelingMike W-L CheungBehavior Research Methods|April 14, 2009
Comparison of methods for constructing confidence intervals of standardized indirect effectsMike W-L CheungFrontiers in Psychology|January 21, 2015
metaSEM: an R package for meta-analysis using structural equation modelingMike W-L CheungPageof 39