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.

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′.

• Part 1: Quantitative data: structure, preparation and analysis approachesChapter 1: Data structureChapter 2: Data preparationChapter 3: Approaches to data analysisPart 2: Variable-based analysesChapter 4: Univariate analysisChapter 5: Bivariate analysisChapter 6: Multivariate analysisPart 3: Case-based analysesChapter 7: Set-theoretic methods and configurational data analysisChapter 8: Cluster and discriminant analysisPart 4: Comparing and communicating resultsChapter 9: Comparing and mixing methodsChapter 10: Evaluating hypotheses, explaining and communicating results

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.

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′.

• Part 1: Quantitative data: structure, preparation and analysis approachesChapter 1: Data structureChapter 2: Data preparationChapter 3: Approaches to data analysisPart 2: Variable-based analysesChapter 4: Univariate analysisChapter 5: Bivariate analysisChapter 6: Multivariate analysisPart 3: Case-based analysesChapter 7: Set-theoretic methods and configurational data analysisChapter 8: Cluster and discriminant analysisPart 4: Comparing and communicating resultsChapter 9: Comparing and mixing methodsChapter 10: Evaluating hypotheses, explaining and communicating results

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.

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′.

• Part 1: Quantitative data: structure, preparation and analysis approachesChapter 1: Data structureChapter 2: Data preparationChapter 3: Approaches to data analysisPart 2: Variable-based analysesChapter 4: Univariate analysisChapter 5: Bivariate analysisChapter 6: Multivariate analysisPart 3: Case-based analysesChapter 7: Set-theoretic methods and configurational data analysisChapter 8: Cluster and discriminant analysisPart 4: Comparing and communicating resultsChapter 9: Comparing and mixing methodsChapter 10: Evaluating hypotheses, explaining and communicating results