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

Part 1. Quantitative data: structure, preparation and analysis approaches -- Part 2. Variable-based analyses -- Part 3. Case-based analyses -- Part 4. Comparing and communicating results -- --

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

"This innovative book provides a fresh take on quantitative data analysis within the social sciences. It presents variable-based and case-based approaches side-by-side encouraging you to learn a range of approaches and to understand which is the most appropriate for your research. Using two multidisciplinary non-experimental datasets throughout, the book demonstrates that data analysis is really an active dialogue between ideas and evidence. Each dataset is returned to throughout the chapters enabling you to see the role of the researcher in action; it also showcases the difference between each approach and the significance of researchers' decisions that must be made as you move through your analysis."--Publisher's website.