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The gender dimension of social changeThe contribution of dynamic research to the study of women's life courses$
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Elisabetta Ruspini and Angela Dale

Print publication date: 2002

Print ISBN-13: 9781861343321

Published to Policy Press Scholarship Online: March 2012

DOI: 10.1332/policypress/9781861343321.001.0001

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PRINTED FROM POLICY PRESS SCHOLARSHIP ONLINE (www.policypress.universitypressscholarship.com). (c) Copyright Policy Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in PPSO for personal use.date: 18 September 2021



(p.3) One Introduction
The gender dimension of social change

Elisabetta Ruspini

Angela Dale

Policy Press

This volume was developed from the Fifth International Conference on Logic and Methodology: Social Science Methodology in the New Millennium, Cologne on October 2000. It included a session by Elisabetta Ruspini which is entitled ‘Engendering longitudinal data analysis: the contribution of dynamic research to the study of women's life courses’. The session explored the potential of longitudinal research as a powerful tool for discussing and appreciating gender dimension of social life. This book examines gender transformations from a comparative and international perspective. It introduces the reader to dynamic research, demonstrating its contribution to the analysis of men's and women's life courses and public policy formation. Another aim of the book is to offer new evidence of gender differences and the gender dimension of social inequality. Finally, the book serves as an invitation to those who wish to carry out their own research and launch their own longitudinal, gender-sensitive research project. In this book, although the level of statistical complexity differs between chapters, all the authors have included a methods section to give a clear account of why they have adopted a particular method. It also aimed to elucidate on the strengths and limits, the data requirements and the statistical assumptions of their particular method.

Keywords:   longitudinal research, gender dimension, social life, social change, gender transformations, gender differences, social inequality

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