For all of the recent debates over the methods and theoretical underpinnings of the historical profession, scholars and laypeople alike still frequently think of history in terms of storytelling. Accordingly, historians and theorists have devoted much attention to how historical narratives work, illuminating the ways they can bind together events, shape an argument and lend support to ideology. From ancient Greece to modern-day bestsellers, the studies gathered here offer a wide-ranging analysis of the textual strategies used by historians. They show how in spite of the pursuit of truth and objectivity, the ways in which historians tell their stories are inevitably conditioned by their discursive contexts.

From Nobel Prize–winning economist and New York Times bestselling author Robert Shiller, a groundbreaking account of how stories help drive economic events—and why financial panics can spread like epidemic viruses Stories people tell—about financial confidence or panic, housing booms, or Bitcoin—can go viral and powerfully affect economies, but such narratives have traditionally been ignored in economics and finance because they seem anecdotal and unscientific. In this groundbreaking book, Robert Shiller explains why we ignore these stories at our peril—and how we can begin to take them seriously. Using a rich array of examples and data, Shiller argues that studying popular stories that influence individual and collective economic behavior—what he calls "narrative economics"—may vastly improve our ability to predict, prepare for, and lessen the damage of financial crises and other major economic events. The result is nothing less than a new way to think about the economy, economic change, and economics. In a new preface, Shiller reflects on some of the challenges facing narrative economics, discusses the connection between disease epidemics and economic epidemics, and suggests why epidemiology may hold lessons for fighting economic contagions.

Why do we tell our life stories? What is the point of studying narratives? What is the truth of narratives? How are narratives collected and studied by researchers? In this book the voices of teachers, education researchers, student teachers and philosophers join to form a polyphonic voice that attempts to answer these questions. They shed light on the obscure world of narrative research. This book contains both theoretical articles and empirical examples of narrative research. The theoretical articles introduce and develop the basic concepts of narrative research and focus attention on its philosophical foundations. The empirical articles apply the narrative approach in a multi-dimensional way and provide a clear illustration of narrative research in action. The narrative data consists of teachers' stories about teacher education and school practice.

Examining narrative methods in the context of its multi-disciplinary social science origins, this text looks at its theoretical underpinnings, while retaining an emphasis on the process of doing narrative research. The authors provide a comprehensive guide to narrative methods, taking the reader from initial decisions about forms of narrative analysis, through more complex issues of reflexivity, interpretation and the research context. The contributions included here clearly demonstrate the value of narrative methods for contemporary social research and practice. This book will be invaluable for all social science postgraduate students and researchers looking to use narrative methods in their own research.

Narrative research is an increasingly popular qualitative method across the social sciences. This book has two purposes: firstly to show students and researchers how to do research on narrative topics, particularly on questions about narrative productions of meaning, and secondly to explain some fundamentals of research methods suitable for exploring these topics. A final part of the book provides empirical examples of how such research is done. These chapters use small amounts of data to examine the analytic tasks of designing research questions, finding appropriate data, sampling decisions, contextualization, data categorization, and communicating study findings.