Tutorial: Statistical Challenges in Information System Research

Tutorial: Statistical Challenges in Information System Research

Tutorial: Statistical Challenges in Information System Research

Note: This tutorial is open to public and we do not ask for additional registrations.

 

Tutorial: Statistical Challenges in Information System Research: Mirror, Mirror on the wall, where is the elephant in the room? 

 

In this introductory tutorial, we provide some examples of statistics so that Ph.D. students and junior researchers can learn the concepts and practice during the tutorial. Further, we introduce the statistical problems in management information system research, including operationalization of constructs and measurement indicator, scale, sample size (n), normal distribution, reflective construct, formative construct, 2nd order analyses (model misspecification), mediation, and moderation. More advanced issues will not be covered in depth but will be suggested with suitable literature. At the end of the tutorial, it is expected that participants will be able to accurately use and apply statistics in management information system research as required for research and journal publications.

 

Who should attend: Individuals wish to learn when and how to correctly use statistics for their Ph.D. research and/or high-quality journal publications.
Requirements: Prior experience with quantitative research is recommended but not required.
Expected number of participants: 50

 

Organizor: Professor Mac Wen-Lung Shiau & Jia Guo