Fr. 161.00

Researcher s Guide to the National Statistics Socio Economic - Classificatio

English · Hardback

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Informationen zum Autor David J. Pevalin is Senior Research Officer at the Institute for Social and Economic Research, University of Essex Klappentext '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. Zusammenfassung Researcher's Guide to the National Statistics Socio-economic Classification Inhaltsverzeichnis PART ONE: INTRODUCTION TO THE NATIONAL STATISTICS SOCIO-ECONOMIC CLASSIFICATION The NS-SEC Described - David Rose and David J Pevalin The NS-SEC Explained - David Rose and David J Pevalin PART TWO: THE NS-SEC AS A MEASURE OF EMPLOYMENT RELATIONS - David Rose and David J Pevalin Empirical Variation in Employment Relations and Conditions - Abigail McKnight and Peter Elias Employment Relations, Employment Conditions and the NS-SEC - Colin Mills and Geoffrey Evans Criterion Validity and Occupational Classification - Anthony P M Coxon and Kimberly Fisher The Seven Economic Relations Measures and the NS-SEC An Initial Exploration of the Employment Conditions of Full-Time and Part-Time Workers Using the NS-SEC - Kimberly Fisher PART THREE: CONSTRUCT VALIDATION Earnings, Unemployment and the NS-SEC - Peter Elias and Abigail McKnight Examining Mortality Rates by NS-SEC Using Death Registration Data and the 1991 Census - Justine Fitzpatrick Social Class and the Incidence of Low-weight Births - David J Pevalin Gender, Health and Occupational Classifications in Working and Later Life - Helen Cooper and Sara Arber Old and New Social Class Measures - Anthony Heath, Jean Martin and Roeland Beerten A Comparison PART FOUR: FURTHER REFLECTIONS ON THE NS-SEC The Problem of Lower Sales, Services and Clerical Occupations - David Rose and David J Pevalin The NS-SEC - David Rose and David J Pevalin Overview and Conclusions ...

Product details

Authors David Pevalin, David Rose, David Pevalin Rose
Assisted by David Pevalin (Editor), Pevalin David (Editor), David Rose (Editor), Rose David (Editor)
Publisher Sage Publications Ltd
 
Languages English
Product format Hardback
Released 27.02.2003
 
EAN 9780761973225
ISBN 978-0-7619-7322-5
No. of pages 304
Subjects Social sciences, law, business > Sociology > General, dictionaries
Social sciences, law, business > Sociology > Sociological theories

Social Theory, SOCIAL SCIENCE / Sociology / Social Theory, Social Research Methods

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