Brimming with examples, this book demonstrates how qualitative researchers can use autoethnography as a method for qualitative research. Topics include a brief history of autoethnography; the purposes and practices of doing autoethnography; interpreting, analyzing, and representing personal experience; and evaluating autoethnographic work.
Assessing Autoethnography provides readers with multiple ways to analyze autoethnographies and other forms of personal narrative writing. Given the proliferation of such forms across academic contexts, the book offers a guide of what autoethnography is, why it matters, and how to do it. Taking each of the three parts of auto-, ethno-, and -graphy in detail, Herrmann, and Adams, provide criteria and points of discussion to ensure robust assessment of an autoethnographic work as a whole. Every chapter is accompanied with exemplars and considers issues such as ethics, storytelling, and good writing. The book discerns the kinds of personal experiences that often work best for autoethnographic projects and provide ways to evaluate fieldwork, interviews, and representations. Written by two experts in the field, Assessing Autoethnography offers guidance to scholars and dissertation advisors, across diverse disciplines, in producing autoethnographic work and utilizing autoethnographic methods. The book will be of interest to researchers in the fields of Communication Studies, Education, Sociology, Women’s and Gender Studies, Critical Race Studies, Mass Communication, English, and other related disciplines.
In this definitive reference volume, almost fifty leading thinkers and practitioners of autoethnographic research—from four continents and a dozen disciplines—comprehensively cover its vision, opportunities and challenges. Chapters address the theory, history, and ethics of autoethnographic practice, representational and writing issues, the personal and relational concerns of the autoethnographer, and the link between researcher and social justice. A set of 13 exemplars show the use of these principles in action. Autoethnography is one of the most popularly practiced forms of qualitative research over the past 20 years, and this volume captures all its essential elements for graduate students and practicing researchers.
Information Modeling and Relational Databases, Third Edition, provides an introduction to ORM (Object-Role Modeling) and much more. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. This book is intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, and programmers. Dr. Terry Halpin and Dr. Tony Morgan, pioneers in the development of ORM, blend conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. The all-new Third Edition includes coverage of advances and improvements in ORM and UML, nominalization, relational mapping, SQL, XML, data interchange, NoSQL databases, ontological modeling, and post-relational databases. Supported by examples, exercises, and useful background information, the authors' step-by-step approach teaches you to develop a natural-language-based ORM model, and then, where needed, abstract ER and UML models from it. This book will quickly make you proficient in the modeling technique that is proving vital to the development of accurate and efficient databases that best meet real business objectives. "This book is an excellent introduction to both information modeling in ORM and relational databases. The book is very clearly written in a step-by-step manner and contains an abundance of well-chosen examples illuminating practice and theory in information modeling. I strongly recommend this book to anyone interested in conceptual modeling and databases." — Dr. Herman Balsters, Director of the Faculty of Industrial Engineering, University of Groningen, The Netherlands - Presents the most in-depth coverage of object-role modeling, including a thorough update of the book for the latest versions of ORM, ER, UML, OWL, and BPMN modeling. - Includes clear coverage of relational database concepts as well as the latest developments in SQL, XML, information modeling, data exchange, and schema transformation. - Case studies and a large number of class-tested exercises are provided for many topics. - Includes all-new chapters on data file formats and NoSQL databases.
Brimming with examples, this book demonstrates how qualitative researchers can use autoethnography as a method for qualitative research. Topics include a brief history of autoethnography; the purposes and practices of doing autoethnography; interpreting, analyzing, and representing personal experience; and evaluating autoethnographic work.
In this definitive reference volume, almost fifty leading thinkers and practitioners of autoethnographic research—from four continents and a dozen disciplines—comprehensively cover its vision, opportunities and challenges. Chapters address the theory, history, and ethics of autoethnographic practice, representational and writing issues, the personal and relational concerns of the autoethnographer, and the link between researcher and social justice. A set of 13 exemplars show the use of these principles in action. Autoethnography is one of the most popularly practiced forms of qualitative research over the past 20 years, and this volume captures all its essential elements for graduate students and practicing researchers.
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