Raymond A. Kent

Analysing Quantitative Data (eBook, PDF)

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

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: SAGE Publications
• Seitenzahl: 376
• Erscheinungstermin: 28. März 2015
• Englisch
• ISBN-13: 9781473917934
• Artikelnr.: 44876203

Autorenporträt

Ray Kent is now retired, but was Senior Lecturer in Marketing at the University of Stirling. He has published on topics as diverse as product range policy, marketing communications with sensitive groups, private trading on the internet, improving email responses and the use of fuzzy logic in data analysis. This is his eighth book; earlier books have been in the areas of the history of sociological research, survey data analysis and marketing research. After each book, he says it will be his last. We'll see.

Inhaltsangabe

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

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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

Rezensionen

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'.

Benoît Rihoux