Complexity Theory and the Social Sciences introduces students to the central ideas which surround chaos/complexity theories. It discusses key concepts before using them as a way of investigating the nature of social research. By applying them to such familiar topics as urban studies, education and health, David Byrne enables readers new to the subject to appreciate the contribution which complexity theory can make to social research and to illuminating the crucial social issues of our day.
Classification through measurement is perhaps the most important and reliable way in which we can understand a complex non-linear world, and this refreshing and articulate book provides students with a novel and useful resource for doing quantitative research. It provides students with a guide to:
• Interpret the complex reality of the social world
• Achieve effective measurement
• Understand the use of official statistics
• Use social surveys
• Understand probability and quantitative reasoning
• Interpret measurements
• Apply linear modelling in an appropriate way
• Understand simulation and neural nets
• Integrate quantitative and qualitative modelling in the research process
Expressly written with the needs of students in mind, this book will be required reading for students interested in using quantitative research methods.
In four parts, this book seeks to establish ‘the state of the art’ of complexity-informed social science as it stands now, examining: • the key issues in complexity theory • the implications of complexity theory for social theory • the methodology and methods of complexity theory • complexity within disciplines and fields.
It also points ways forward towards a complexity-informed social science for the twenty-first century, investigating the argument for a post-disciplinary, ‘open’ social science. Byrne and Callaghan consider how this might be developed as a programme of teaching and research within social science.