(No registration is necessary, walk-ins are welcome)

Chair: Rico Lam, University of Macau

Faculty trainers:

• Wendong Li, Chinese University of Hong Kong
• Iris Zhang, University of Macau

Two state-of-the-art analyses are discussed in order to avoid desk rejection and to improve the quality of statistical analyses. The first is the issue of change in temporal studies, especially in micromanagement research. Explanations will be made regarding how to make theoretical contributions above and beyond many current practices of analyzing changes. Methods that can be adopted to examine change will also be shown, including latent growth modeling and latent change score analyses. The second issue is how to conceptualize and report three-way interaction effects in organizational behavior studies. Different models and post-hoc statistical analyses of three-way interaction will be explained and demonstrated. References on these two issues and examples from prior empirical research will be introduced in this PDW.