A researcher's guide to the national statistics socio-economic classification
Author(s)
Bibliographic Information
A researcher's guide to the national statistics socio-economic classification
Sage Publications, 2003
Available at 3 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and indexes
Description and Table of Contents
Description
'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.
Table of Contents
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
by "Nielsen BookData"