Talk is one of the main resources available to qualitative researchers. It offers rich, meaningful data that can provide real insights and new perspectives. But once you have the data how do you select an appropriate means of analysis? How do you ensure that the approach you adopt is the best for your project and your data? The book will help you choose strategies for qualitative analysis that best suit your research. It walks you through key decisions, provides actionable game plans and highlights the advantages and challenges of the main approaches. It is packed full of real examples designed to showcase the different tools you might use to meet your own objectives. Each section of the book focuses on one popular strategy for analyzing talk-based data: Narrative Analysis Conversation Analysis Discourse Analysis Taken together these sections will help you to fine-tune the link between your primary research question and your methods; to ensure that your theoretical stance fits with your methods; and to reason through your analysis in a way that will be recognizable to the intellectual communities of narrative, conversation, or discourse analysts. This book is both starting point and map for any social scientist looking to strategically and purposefully analyse talk data.
Talk is one of the main resources available to qualitative researchers. It offers rich, meaningful data that can provide real insights and new perspectives. But once you have the data how do you select an appropriate means of analysis? How do you ensure that the approach you adopt is the best for your project and your data? The book will help you choose strategies for qualitative analysis that best suit your research. It walks you through key decisions, provides actionable game plans and highlights the advantages and challenges of the main approaches. It is packed full of real examples designed to showcase the different tools you might use to meet your own objectives. Each section of the book focuses on one popular strategy for analyzing talk-based data: Narrative Analysis Conversation Analysis Discourse Analysis Taken together these sections will help you to fine-tune the link between your primary research question and your methods; to ensure that your theoretical stance fits with your methods; and to reason through your analysis in a way that will be recognizable to the intellectual communities of narrative, conversation, or discourse analysts. This book is both starting point and map for any social scientist looking to strategically and purposefully analyse talk data.
This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it: * Discusses measures and techniques for analyzing social network data, including digital media * Explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks * Offers digital resources like practice datasets and worked examples that help you get to grips with R software
Kickstart your research with this practical, bestselling guide to doing social network analysis. Get to grips with the mathematical foundations and learn how to use software tools such as NeTDraw and UNICET to reach your research goals. Supporting you step-by-step through the entire research process, from design and data collection to coding, visualisation, and analysis, the book also offers: * Case studies and examples using real data * Exercises drawn from the authors' decades of teaching experience * Online access to datasets, worked examples and a software manual to help you practice your skills. Whether you are new to social network analysis or an experienced researcher, this approachable book is your technical toolbox and research companion all in one.
Kickstart your research with this practical, bestselling guide to doing social network analysis. Get to grips with the mathematical foundations and learn how to use software tools such as NeTDraw and UNICET to reach your research goals. Supporting you step-by-step through the entire research process, from design and data collection to coding, visualisation, and analysis, the book also offers: * Case studies and examples using real data * Exercises drawn from the authors' decades of teaching experience * Online access to datasets, worked examples and a software manual to help you practice your skills. Whether you are new to social network analysis or an experienced researcher, this approachable book is your technical toolbox and research companion all in one.
This text aims to provide a clear and accessible guide to quantitative methods for the analysis of change over time. The authors outline the nature of techniques particularly applicable to this form of analysis - time series analysis; panel data; log-linear models and event history analysis. Subjects covered in depth include - the variety of methods available for the analysis of change over time; the kinds of research objective to which individual techniques are suited, the limitations and constraints of individual methods; the different philosophies which underlie particular approaches, and the respective value of cross-sectional and longitudinal data in the analysis of change. It is suitable for academics and researchers in sociology, political science, education and gerontology and criminology.
This text aims to provide a clear and accessible guide to quantitative methods for the analysis of change over time. The authors outline the nature of techniques particularly applicable to this form of analysis - time series analysis; panel data; log-linear models and event history analysis. Subjects covered in depth include - the variety of methods available for the analysis of change over time; the kinds of research objective to which individual techniques are suited, the limitations and constraints of individual methods; the different philosophies which underlie particular approaches, and the respective value of cross-sectional and longitudinal data in the analysis of change. It is suitable for academics and researchers in sociology, political science, education and gerontology and criminology.
Written for anyone beginning a research project, this introductory book takes you through the process of analysing your data from start to finish. The author sets out an easy-to-use model for coding data in order to break it down into parts, and then to reassemble it to create a meaningful picture of the phenomenon under study. Full of useful advice, the book guides the reader through the last difficult integrating phase of qualitative analysis including diagramming, memoing, thinking aloud, and using one's feelings, and how to incorporate the use of software where appropriate. Ideal for third year undergraduate students, master students, postgraduates and anybody beginning a research project, the book includes examples covering a wide range of subjects - making the book useful for students across the social science disciplines. Hennie Boeije is currently an Associate Professor with the Department of Methodology and Statistics of the Faculty of Social and Behavioural Sciences at Utrecht University, The Netherlands.
Written for anyone beginning a research project, this introductory book takes you through the process of analysing your data from start to finish. The author sets out an easy-to-use model for coding data in order to break it down into parts, and then to reassemble it to create a meaningful picture of the phenomenon under study. Full of useful advice, the book guides the reader through the last difficult integrating phase of qualitative analysis including diagramming, memoing, thinking aloud, and using one's feelings, and how to incorporate the use of software where appropriate. Ideal for third year undergraduate students, master students, postgraduates and anybody beginning a research project, the book includes examples covering a wide range of subjects - making the book useful for students across the social science disciplines. Hennie Boeije is currently an Associate Professor with the Department of Methodology and Statistics of the Faculty of Social and Behavioural Sciences at Utrecht University, The Netherlands.
