First published in 1984, Industrial Relations in the Future highlights probable developments in Britain's system of industrial relations into the 1990s. It also provides a basis for further and detailed analysis and debate of issues central to the nation's future. Written by distinguished scholars in their respective fields, the three main sections give reviews from three contrasting traditions- mainstream industrial relations, industrial sociology and management, and labour economics. These accounts are highly complementary in the ways in which, in each and every case, issues of collective bargaining, managerial strategy and union response, and the behaviour of governments are all set against a broad backcloth of economic, political, and social changes. The authors see the ultimate outcome as depending greatly on the policies and types of action of organised labour, managements and governments, and possibly of wider social movements as well. This book will be an essential read for scholars and researchers of labour economics, industrial sociology, economics, and public policy.

An essential tool for those planning to undertake social research, this exceptional book tackles many of the specific concerns and issues that arise. A well structured text, it offers a comprehensive introduction to a range of important areas in project management, including: commissioning research preparing a tender or grant application risk and stakeholder analysis managing the field work and data analysis financial management ethics, confidentiality and copyright. This book provides a unique source of guidance for anyone seeking to commission, manage or carry out social research. It will especially benefit researchers working in a variety of different contexts, including those in academia, central or local government, 'quangos', public bodies or private consulting companies.

This book explains the principles and theory of statistical modelling in an intelligible way for the non-mathematical social scientist looking to apply statistical modelling techniques in research. The book also serves as an introduction for those wishing to develop more detailed knowledge and skills in statistical modelling. Rather than present a limited number of statistical models in great depth, the aim is to provide a comprehensive overview of the statistical models currently adopted in social research, in order that the researcher can make appropriate choices and select the most suitable model for the research question to be addressed. To facilitate application, the book also offers practical guidance and instruction in fitting models using SPSS and Stata, the most popular statistical computer software which is available to most social researchers. Instruction in using MLwiN is also given. Models covered in the book include; multiple regression, binary, multinomial and ordered logistic regression, log-linear models, multilevel models, latent variable models (factor analysis), path analysis and simultaneous equation models and models for longitudinal data and event histories. An accompanying website hosts the datasets and further exercises in order that the reader may practice developing statistical models. An ideal tool for postgraduate social science students, research students and practicing social researchers in universities, market research, government social research and the voluntary sector.

This book explains the principles and theory of statistical modelling in an intelligible way for the non-mathematical social scientist looking to apply statistical modelling techniques in research. The book also serves as an introduction for those wishing to develop more detailed knowledge and skills in statistical modelling. Rather than present a limited number of statistical models in great depth, the aim is to provide a comprehensive overview of the statistical models currently adopted in social research, in order that the researcher can make appropriate choices and select the most suitable model for the research question to be addressed. To facilitate application, the book also offers practical guidance and instruction in fitting models using SPSS and Stata, the most popular statistical computer software which is available to most social researchers. Instruction in using MLwiN is also given. Models covered in the book include; multiple regression, binary, multinomial and ordered logistic regression, log-linear models, multilevel models, latent variable models (factor analysis), path analysis and simultaneous equation models and models for longitudinal data and event histories. An accompanying website hosts the datasets and further exercises in order that the reader may practice developing statistical models. An ideal tool for postgraduate social science students, research students and practicing social researchers in universities, market research, government social research and the voluntary sector.

An essential tool for those planning to undertake social research, this exceptional book tackles many of the specific concerns and issues that arise. A well structured text, it offers a comprehensive introduction to a range of important areas in project management, including:

• commissioning research
• preparing a tender or grant application
• risk and stakeholder analysis
• managing the field work and data analysis
• financial management
• ethics, confidentiality and copyright.

This book provides a unique source of guidance for anyone seeking to commission, manage or carry out social research. It will especially benefit researchers working in a variety of different contexts, including those in academia, central or local government, 'quangos', public bodies or private consulting companies.