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

Editat de David Rose, David Pevalin
en Limba Engleză Hardback – 26 feb 2003
'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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Specificații

ISBN-13: 9780761973225
ISBN-10: 0761973222
Pagini: 304
Dimensiuni: 170 x 242 x 22 mm
Greutate: 0.67 kg
Ediția:First Edition
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom

Recenzii

`Health researchers in the US and more 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

Cuprins

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

Descriere

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