Social Research Today – serie

One of the major changes in the social science research landscape in recent years has been the introduction of computerised panel surveys in Europe and the US which make longitudinal data widely available to graduate students for the first time. Elisabetta Ruspini here provides a concise yet comprehensive introduction to the issues involved in this kind of research. This book:* Defines the concept of longitudinal research* Gives guidance on sources of longitudinal data in Europe and the US and their strengths and weaknesses* Discusses the choices that need to be made in this kind of research - for instance the advantages and disadvantages of certain types of research data and of different types of analysis* Highlights some of the problems involved, e.g. the issue of comparability within longitudinal research

One of the major changes in the social science research landscape in recent years has been the introduction of computerised panel surveys in Europe and the US which make longitudinal data widely available to graduate students for the first time. Elisabetta Ruspini here provides a concise yet comprehensive introduction to the issues involved in this kind of research. This book:* Defines the concept of longitudinal research* Gives guidance on sources of longitudinal data in Europe and the US and their strengths and weaknesses* Discusses the choices that need to be made in this kind of research - for instance the advantages and disadvantages of certain types of research data and of different types of analysis* Highlights some of the problems involved, e.g. the issue of comparability within longitudinal research

Race and racism have become huge areas of study in the social sciences over the past two decades. However, whilst this has been reflected in the growing body of theoretical and empirically based work, surprisingly little has been published that explores the methodological and practical issues involved in researching race. In Researching Race and Racism Martin Bulmer and John Solomos have brought together contributions from some of the leading researchers in the field, using the benefit of their experience to explore the practical and ethical issues involved in doing research in this sometimes controversial, often heavily politicised field. This book will provide students and researchers - both new to the field and experienced alike - with an invaluable tool to help them find their way.

Race and racism have become huge areas of study in the social sciences over the past two decades. However, whilst this has been reflected in the growing body of theoretical and empirically based work, surprisingly little has been published that explores the methodological and practical issues involved in researching race. In Researching Race and Racism Martin Bulmer and John Solomos have brought together contributions from some of the leading researchers in the field, using the benefit of their experience to explore the practical and ethical issues involved in doing research in this sometimes controversial, often heavily politicised field. This book will provide students and researchers - both new to the field and experienced alike - with an invaluable tool to help them find their way.

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 managementethics, 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.

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 managementethics, 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.

The social sciences rely more on the comparative method than on experimental data mainly because the latter is difficult to acquire amongst human populations. The International Social Survey Programme has played a pioneering role in creating and sustaining methodologically-sophisticated mass attitude surveys across the globe. Starting in 1984 with five nations, it now encompasses forty-five nations spread over five continents, each administering an identical annual survey to a random sample of their population. Analyses of the data or descriptions of the methodology already appear in over 3,000 publications. This book contains new contributions from three dozen eminent scholars who analyse and compare the perceptions and attitudes of citizens across all five continents, nations and over time. Subjects range from inequality and the role of the state; ethnic, national and global identities; the changing relevance of religion, beliefs and practices; gender roles, family values and work orientations; household and society. Some chapters focus on methodological issues; others focus on substantive findings. This book sets new standards for cross-cultural research.

The social sciences rely more on the comparative method than on experimental data mainly because the latter is difficult to acquire amongst human populations. The International Social Survey Programme has played a pioneering role in creating and sustaining methodologically-sophisticated mass attitude surveys across the globe. Starting in 1984 with five nations, it now encompasses forty-five nations spread over five continents, each administering an identical annual survey to a random sample of their population. Analyses of the data or descriptions of the methodology already appear in over 3,000 publications. This book contains new contributions from three dozen eminent scholars who analyse and compare the perceptions and attitudes of citizens across all five continents, nations and over time. Subjects range from inequality and the role of the state; ethnic, national and global identities; the changing relevance of religion, beliefs and practices; gender roles, family values and work orientations; household and society. Some chapters focus on methodological issues; others focus on substantive findings. This book sets new standards for cross-cultural research.

David de Vaus' classic text Surveys in Social Research provides clear advice on how to plan, conduct and analyse social surveys. It emphasises the links between theory and research, the logic and interpretation of statistics and the practices of social research. This sixth edition has been completely revised and updated, and contains new examples, data and extensive lists of web resources. As well as explaining how to conduct good surveys, de Vaus shows how to become a critical consumer of research. He argues that the logic of surveys and statistics is simply an extension of the logic we use in everyday life; analysis, however, requires creativity and imagination rather than the application of sterile mechanical procedures. The prime goal of research should be to gain accurate understanding and, as a researcher, use methods and techniques which enhance understanding. De Vaus advocates researchers use the method, rather than letting the method use you.Surveys in Social Research is essential reading for students and researchers working with surveys. It assumes no background in statistical analysis, and gives you the tools you need to come to grips with this often challenging field of work.

David de Vaus' classic text Surveys in Social Research provides clear advice on how to plan, conduct and analyse social surveys. It emphasises the links between theory and research, the logic and interpretation of statistics and the practices of social research. This sixth edition has been completely revised and updated, and contains new examples, data and extensive lists of web resources. As well as explaining how to conduct good surveys, de Vaus shows how to become a critical consumer of research. He argues that the logic of surveys and statistics is simply an extension of the logic we use in everyday life; analysis, however, requires creativity and imagination rather than the application of sterile mechanical procedures. The prime goal of research should be to gain accurate understanding and, as a researcher, use methods and techniques which enhance understanding. De Vaus advocates researchers use the method, rather than letting the method use you.Surveys in Social Research is essential reading for students and researchers working with surveys. It assumes no background in statistical analysis, and gives you the tools you need to come to grips with this often challenging field of work.

Models in Statistical Social Research provides a comprehensive insight of models used in statistical social research based on statistical data and methods. While traditionally understood statistical models relate to data generating processes which presuppose facts, this book focuses on analytical models which relate to substantial processes generating social facts. It formally develops individual-level, population-level, and multilevel versions of such models and uses these models as frameworks for the definition of notions of functional causality.The book further develops a distinction between the representation of states and events, which is then used to formally distinguish between comparative and dynamic notions of causality. It is shown that, due to the involvement of human actors in substantial processes considered in social research, the conceptual framework of randomized experiments is of only limited use. Instead, modelling selection processes should become an explicit task of social research.

Contemporary critical theory’s methodology is currently taking shape under the impact both of transformative internal develops within the discipline, and of external pressures and incentives arising from a series of international debates. In this book, Piet Strydom presents a groundbreaking treatment of critical theory’s methodology, using as a base the reconstruction of the left-Hegelian tradition, the relation between critical theory and pragmatism, and the associated metatheoretical implications. He assesses extant positions, presents a detailed yet comprehensive restatement and development of critical theory’s methodology, compares it with a wide range of current concepts of social criticism and critique, and analyzes leading critical theorists’ exemplary applications of it. Besides immanent transcendence and the sign-mediated epistemology common to the left-Hegelian tradition, special attention is given to the abductive imagination, reconstruction, normative and causal explanation, explanatory mechanisms and the communicative framework which enables critical theory to link up with its addressees and the public.Contemporary Critical Theory and Methodology is recommended reading for senior undergraduate and postgraduate students, as well as professionals working within disciplines such as sociology, philosophy, political science, critical theory and cultural studies.

Models in Statistical Social Research provides a comprehensive insight of models used in statistical social research based on statistical data and methods. While traditionally understood statistical models relate to data generating processes which presuppose facts, this book focuses on analytical models which relate to substantial processes generating social facts. It formally develops individual-level, population-level, and multilevel versions of such models and uses these models as frameworks for the definition of notions of functional causality.The book further develops a distinction between the representation of states and events, which is then used to formally distinguish between comparative and dynamic notions of causality. It is shown that, due to the involvement of human actors in substantial processes considered in social research, the conceptual framework of randomized experiments is of only limited use. Instead, modelling selection processes should become an explicit task of social research.

How do we interact with people in our everyday life? Who are the people we are connected to? What are the consequences of overlapping social circles and how people deal with the potential emerging conflicts? What are the structural and cultural mechanisms that regulate social worlds? Network science is a scientific approach to the study of network dependencies and associations which tries to answer these and many other questions. This book explores the underlying mechanisms that regulate social life as they are produced, reproduced, modified, and abandoned in the spatial and temporal patterns of interactions. The mixed methods approach, that combines formal network analysis with qualitative materials and statistical tools, shows the importance of contextualising structural mechanisms in their social and cultural environment, and allows overcoming the traditional methodological boundaries that shape the field of social sciences.

Contemporary critical theory’s methodology is currently taking shape under the impact both of transformative internal develops within the discipline, and of external pressures and incentives arising from a series of international debates. In this book, Piet Strydom presents a groundbreaking treatment of critical theory’s methodology, using as a base the reconstruction of the left-Hegelian tradition, the relation between critical theory and pragmatism, and the associated metatheoretical implications. He assesses extant positions, presents a detailed yet comprehensive restatement and development of critical theory’s methodology, compares it with a wide range of current concepts of social criticism and critique, and analyzes leading critical theorists’ exemplary applications of it. Besides immanent transcendence and the sign-mediated epistemology common to the left-Hegelian tradition, special attention is given to the abductive imagination, reconstruction, normative and causal explanation, explanatory mechanisms and the communicative framework which enables critical theory to link up with its addressees and the public.Contemporary Critical Theory and Methodology is recommended reading for senior undergraduate and postgraduate students, as well as professionals working within disciplines such as sociology, philosophy, political science, critical theory and cultural studies.

This is Volume 4 of 12 of a series on the African American Life in Post-Emancipation South, 1861 to 1900. It focuses on African Americans and non-agricultural labor in the South between 1865 and the 1900s. Looking at urban life away from the stereotypical image of farmers in the countryside it shows African American workers as having an integral role in the economic life of southern cities and towns. The essays included explore the non agricultural dimension of African-American economic life in the decades following emancipation.

How do we interact with people in our everyday life? Who are the people we are connected to? What are the consequences of overlapping social circles and how people deal with the potential emerging conflicts? What are the structural and cultural mechanisms that regulate social worlds? Network science is a scientific approach to the study of network dependencies and associations which tries to answer these and many other questions. This book explores the underlying mechanisms that regulate social life as they are produced, reproduced, modified, and abandoned in the spatial and temporal patterns of interactions. The mixed methods approach, that combines formal network analysis with qualitative materials and statistical tools, shows the importance of contextualising structural mechanisms in their social and cultural environment, and allows overcoming the traditional methodological boundaries that shape the field of social sciences.