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Behavior Research Methods|January 16, 2026
Forming bootstrap confidence intervals and examining bootstrap distributions of standardized coefficients in structural equation modelling: A simplified workflow using the R package semboottoolsWendie Yang, Shu Fai CheungMultivariate Behavioral Research|June 2, 2026
betaselectr: Selective (and Proper) Standardization in Structural Equation ModelsRong Wei Sun, Florbela Chang, Wendie Yang, et al.Behavior Research Methods|January 4, 2020
The influence of nonnormality from primary studies on the standardized mean difference in meta-analysisRong Wei Sun, Shu Fai CheungBehavior Research Methods|October 5, 2023
manymome: An R package for computing the indirect effects, conditional effects, and conditional indirect effects, standardized or unstandardized, and their bootstrap confidence intervals, in many (though not all) modelsShu Fai Cheung, Sing-Hang CheungMultivariate Behavioral Research|January 5, 2023
FINDOUT: Using Either SPSS Commands or Graphical User Interface to Identify Influential Cases in Structural Equation Modeling in AMOSShu Fai Cheung, Ivan Jacob Agaloos PesiganResearch Synthesis Methods|June 12, 2016
Random-effects models for meta-analytic structural equation modeling: review, issues, and illustrationsMike W-L Cheung, Shu Fai CheungFrontiers in Psychology|January 4, 2021
SEM-Based Methods to Form Confidence Intervals for Indirect Effect: Still Applicable Given Nonnormality, Under Certain ConditionsIvan Jacob Agaloos Pesigan, Shu Fai CheungBehavior Research Methods|August 7, 2023
Monte Carlo confidence intervals for the indirect effect with missing dataIvan Jacob Agaloos Pesigan, Shu Fai CheungThe Journal of Applied Psychology|October 28, 2004
Dependent effect sizes in meta-analysis: incorporating the degree of interdependenceShu Fai Cheung, Darius K-S ChanBehavior Research Methods|November 8, 2013
Meta-analyzing dependent correlations: an SPSS macro and an R scriptShu Fai Cheung, Darius K-S ChanPageof 4