Raymond A. Kent

Analysing Quantitative Data

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

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: SAGE Publications Ltd
• Seitenzahl: 376
• Erscheinungstermin: 16. März 2015
• Englisch
• Abmessung: 244mm x 170mm x 20mm
• Gewicht: 648g
• ISBN-13: 9781446273418
• ISBN-10: 1446273415
• Artikelnr.: 41770137

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