My research

My research interests are quantitative methods, especially in the topics of meta-analysis, structural equation modeling, and multilevel modeling. The current research focus is integrating meta-analysis into the structural equation modeling framework.

• 
• Cheung, M. W.-L. (2015). Meta-Analysis: A Structural Equation Modeling Approach. Wiley, Amazon, and Google Book.
• A two-day workshop based on my book: SEM-based meta-analysis and meta-analytic structural equation model (MASEM).
• The metaSEM package, an R package conducting meta-analysis with the structural equation modeling approach.

Some of my presentations:

• Evidence Synthesis and Meta-Analysis in R Conference (2023)
  • metaSEM tutorial: and
• Leibniz Institute for Psychology Information (ZPID) Research Synthesis 2018
  • Bridging Meta-Analysis and Standard Statistical Methods: and
• Leibniz Institute for Psychology Information (ZPID) Big Data in Psychology 2018
  • Testing Model-Driven Hypotheses with Big Data: and
• Hong Kong Shue Yan University (HKSYU) Institutional Development Scheme
  • Applying evidence-based practice with meta-analysis: and
  • Establishing evidence-based practice with structural equation modelling: and

My other research interests are:

• Longitudinal data analysis
• Mediating and moderating effects
• Bootstrapping
• Confidence intervals
• Analysis of missing data
• Robust statistics
• Mixture models
• Ipsative data analysis
• Cross-cultural research methodology
• Analysis of big data