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 consistent with APA style. Using computer software such as IBM SPSS and AMOS for statistical analysis will be included.