This course aims to provide students with a sound understanding of statistical and quantitative techniques and their application in analysing and making decisions about various organizational issues. Issues for testing hypotheses with empirical data will be addressed. In particular, the course will concentrate on the development, measurement, and analysis of “real-world” data involving natural co-variation between variables. On completing this course, students will acquire the data analytic skills—e.g. ANOVA, MANOVA, hierarchical regression analysis, EFA, CFA and SEM, needed to competently complete a quantitatively based DBA thesis.