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Behavior Research Methods|September 21, 2021
Evaluating FIML and multiple imputation in joint ordinal-continuous measurements models with missing dataAaron J-M Lim, Mike W-L CheungAlcohol 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 CheungThe Journal of Applied Psychology|July 10, 2018
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)Mike W-L CheungPsychological Methods|July 10, 2013
Modeling dependent effect sizes with three-level meta-analyses: a structural equation modeling approachMike W-L CheungNeuropsychology Review|August 26, 2019
A Guide to Conducting a Meta-Analysis with Non-Independent Effect SizesMike W-L CheungFrontiers in Psychology|September 4, 2018
Computing Multivariate Effect Sizes and Their Sampling Covariance Matrices With Structural Equation Modeling: Theory, Examples, and Computer SimulationsMike W-L CheungResearch Synthesis Methods|September 4, 2018
Some reflections on combining meta-analysis and structural equation modelingMike W-L CheungPageof 6