Analysing quantitative data : variable-based and case-based approaches to non-experimental datasets Raymond Kent

In covering both traditional and newer approaches, and presenting them alongside each other, and by consistently referring to two data sets throughout, this book provides students with a brand-new way of understanding methods and a tool with which they can think about their own research.

Part 1: Quantitative data: structure, preparation and analysis approaches Chapter 1: Data structure Chapter 2: Data preparation Chapter 3: Approaches to data analysis Part 2: Variable-based analyses Chapter 4: Univariate analysis Chapter 5: Bivariate analysis Chapter 6: Multivariate analysis Part 3: Case-based analyses Chapter 7: Set-theoretic methods and configurational data analysis Chapter 8: Cluster and discriminant analysis Part 4: Comparing and communicating results Chapter 9: Comparing and mixing methods Chapter 10: Evaluating hypotheses, explaining and communicating results