David Rose and David Pevalin - A Researcher's Guide to the National Statistics Socio-economic Classification
-15%

A Researcher's Guide to the National Statistics Socio-economic Classification

David Rose and David Pevalin

ISBN: 9780761973225
Vydavatelství: SAGE Publications
Rok vydání: 2003
Vazba: Hardback
Dostupnost: Na objednávku

Původní cena: 2 819 Kč
Výstavní cena: 2 396 Kč(t.j. po slevě 15%)
(Cena je uvedena včetně 10% DPH)
Katalogová cena: 77 GBP

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'This book is well referenced, excellently produced, and deserves wide consultation' - International Journal of Market Research 'Health researchers in the US and globally would do well to study this book and consider its implications for monitoring and analyzing socioeconomic inequalities in health within and across diverse countries' - Journal of Public Health Policy As a result of a review conducted by the Economic and Social Research Council (ESRC) and the Office for National Statistics (ONS), both previous government social classifications, Social Class based on Occupation and Socio-economic Groups, were replaced in 2001 by a new classification, the National Statistics Socio-Economic Classification (NS-SEC). This book arises from original research, including primary data collection, undertaken by ESRC for ONS. There is a foreword from Gordon Marshall the Chief Executive of the ESRC. This book introduces researchers to all aspects of the new classification. In particular, it: - Fully describes the NS-SEC and elucidates its conceptual basis - Guides readers in how the NS-SEC has been validated as a measure - Evaluates how well NS-SEC works in describing and explaining the relationships between social class and key health and employment variables - Demonstrates the applications of NS-SEC in research The book will be required reading for all users of government social classifications. Its contents will also be of interest to sociologists concerned with the study of social inequality and courses in health inequality. Because of its inherent methodological interest the book will also be relevant to third year undergraduate and graduate courses that discuss how social scientists construct and validate basic measures.

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