Analysing Quantitative Data

Variable-based and Case-based Approaches to Non-experimental Datasets

By: Raymond A. Kent

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eText | 16 March 2015 | Edition Number 1

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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.

The book is divided into four clear sections:

Data and their presentation
Variable-based analyses
Case-based analyses
Comparing and combining approaches

Clear, original and written for students this book should be compulsory reading for anyone looking to conduct non-experimental quantitative data analysis.

Industry Reviews

This compelling textbook provides a clear view of a broad range of possibilities for quantitative data, complementing the statistical toolbox with configurational methods. A must read for students aiming to get more out of data and move beyond 'push-button analysis'.