Analysing Quantitative Data : Variable-based and Case-based Approaches to Non-experimental Datasets

Raymond A. Kent

ISBN 10: 1446273407 / ISBN 13: 9781446273401

Edité par Sage Publications UK, 2015

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9781446273401

Détails bibliographiques

• Titre: Analysing Quantitative Data : Variable-based and Case-based Approaches to Non-experimental Datasets
• Éditeur: Sage Publications UK
• Date de parution: 2015
• Langue: anglais
• ISBN à 10 chiffres: 1446273407
• ISBN à 13 chiffres: 9781446273401
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 250 L x 175 H x 25 P (en millimètres) 250 millimètres de largeur par 175 millimètres de hauteur par 25 millimètres de profondeur
• Poids: 827 grammes

A propos de ce titre

Synopsis

Lecturers, request your electronic inspection copy

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.

À propos de l'auteur

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.