This course is an introduction to the conceptual and practical applications of multivariate statistical techniques commonly used in empirical research for describing and analysing multivariate data. It employs a modular approach with a focus on various advanced statistical procedures, their strengths, limitations and assumptions, pre-analysis data screening as well as a framework for choosing the most appropriate statistic in a given data analysis. Emphasis is placed on formulating research questions, applying multivariate statistical techniques to address research questions, and interpreting results, including write-up of findings in a clear and concise manner.

Specifically, this course aims (1) to provide students with the conceptual and practical information regarding various multivariate statistical techniques commonly used in empirical research; (2) to equip students with the skills to analyze multivariate data with various multivariate statistical methods to test a variety of research hypotheses; (3) to enable students to apply and interpret these analytical techniques in their own research; and (4) to equip students with the skills to read, understand, and thoughtfully evaluate the results from the multivariate analysis reported in professional journal articles.