Why do people in a certain group behave the way they do? And, more importantly, what specific criteria was used by the group in question? This book presents a method for answering these questions.

Advances in social science research methodologies and data analytic methods are changing the way research in information systems is conducted. New developments in statistical software technologies for data mining (DM) such as regression splines or decision tree induction can be used to assist researchers in systematic post-positivist theory testing and development. Established management science techniques like data envelopment analysis (DEA), and value focused thinking (VFT) can be used in combination with traditional statistical analysis and data mining techniques to more effectively explore behavioral questions in information systems research. As adoption and use of these research methods expand, there is growing need for a resource book to assist doctoral students and advanced researchers in understanding their potential to contribute to a broad range of research problems. Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking focuses on bridging and unifying these three different methodologies in order to bring them together in a unified volume for the information systems community. This book serves as a resource that provides overviews on each method, as well as applications on how they can be employed to address IS research problems. Its goal is to help researchers in their continuous efforts to set the pace for having an appropriate interplay between behavioral research and design science.

Introduction to Ethnographic Research streamlines learning the process of research, speaks to the student at a foundational level, and helps the reader conquer the apprehensions of mastering research methods. Written in a conversational style, authors Kimberly Kirner and Jan Mills use a focus on scaffolding across the chapters to help the student transition from step to step in the research process. Case studies and first-hand accounts are also featured in each chapter, allowing the student to see the early steps, successes and at times failures that accomplished researchers experienced in their past. These real examples further encourage the student that even the best researchers failed along the way, and more importantly, learned from those mistakes. This text is designed to be used as a stand alone book, but is enhanced by the use with the supplemental workbook, Doing Ethnographic Research by the same authors. This text has call-outs to the supplemental text, which allow for application and practice of the material learned.

Methods textbooks generally offer prescriptive advice on how to perform certain techniques, how to develop specific strategies, how to analyze your results. But, as all experienced ethnographers know, this fine-sounding advice rarely provides ample guidance in dealing with real people in real field settings. That is where this casebook differs. Selecting many key methods regularly used by anthropologists — participant observation, consensus analysis, simple surveys, scaling, freelisting and triads, networks, decision modeling— the editors commissioned scholars who have completed studies using these techniques to describe them in the context of real field work. Using cases from health, community politics, family relations, and child development (among others) in settings as diverse as an Arkansas college campus, a Mexican barrio, a Thai village, and a Scottish business, the student is given a clear understanding of the diversity of methods used by anthropologists and the complexities surrounding their use.

This workbook is loaded with exercises, how-to sections and checklists, all designed to serve as a supplemental support for students to apply the principles and concepts learned from the textbook it accompanies. With instructions and explanations written in a conversational style, it will help the student understand why the assignments are being used, why the skills they are developing are relevant and how the exercises relate to the textbook content.

The Routledge Reviewer’s Guide to Mixed Methods Analysis is a groundbreaking edited book – the first devoted solely to mixed methods research analyses, or mixed analyses. Each of the 30 seminal chapters, authored by internationally renowned scholars, provides a simple and practical introduction to a method of mixed analysis. Each chapter demonstrates "how to conduct the analysis" in easy-to-understand language. Many of the chapters present new topics that have never been written before, and all chapters offer cutting-edge approaches to analysis. The book contains the following four sections: Part I Quantitative Approaches to Qualitative Data (e.g., factor analysis of text, multidimensional scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis); Part III "Inherently" Mixed Analysis Approaches (e.g., qualitative comparative analysis, mixed methods social network analysis, social media analytics as mixed analysis, GIS as mixed analysis); and Part IV Use of Software for Mixed Data Analysis (e.g., QDA Miner, WordStat, MAXQDA, NVivo, SPSS). The audience for this book includes (a) researchers, evaluators, and practitioners who conduct a variety of research projects and who are interested in using innovative analyses that will allow them to extract more from their data; (b) academics, including faculty who would use this book in their scholarship, as well as in their graduate-level courses, and graduate students who need access to a comprehensive set of mixed analysis tools for their dissertations/theses and other research assignments and projects; and (c) computer-assisted data analysis software developers who are seeking additional mixed analyses to include within their software programs. Chapter 24 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

The book Intelligent Healthcare: Infrastructure, Algorithms, and Management® cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments. Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning. This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors. Main Features: Ø Immersive technologies in healthcare Ø Internet of medical things Ø Federated learning algorithms Ø Explainable AI in Pervasive Healthcare Ø New management principles using biomedical data Ø Secured healthcare management systems This book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue.

Please see the website of author Thurka Sangaramoorthy for extra resources and material related to this book, at thurkasangaramoorthy.com. Click on the book’s cover and be sure to check back for updated content This book provides provides a practical guide to understanding and conducting rapid ethnographic assessments (REAs) with an emphasis on their use in public health contexts. This team-based, multi-method, relatively low-cost approach results in rich understandings of social, economic, and policy factors that contribute to the root causes of an emerging situation and provides rapid, practical feedback to policy makers and programs. Using real-world examples and case studies of completed REAs, Sangaramoorthy and Kroeger provide readers with a logical, easy-to-follow introduction into key concepts, principles, and methods of REAs, including interview and observation techniques, triangulation, field notes and debriefing, theoretical saturation, and qualitative analysis. They also provide a practical guide for planning and implementing REAs and suggestions for transforming findings into written reports and actionable recommendations. Materials and detailed tools regarding the conduct of REAs are designed to help readers apply this method to their own research regardless of topic or discipline. REA is an applied approach that can facilitate collaborative work with communities and become a catalyst for action. Rapid Ethnographic Assessment will appeal to professionals and researchers interested in using REAs for research efficiency and productivity as well as action-oriented and translational research in a variety of fields and contexts.

This volume explores interdependencies between knowledge, action, and space from different interdisciplinary perspectives. Some of the contributors discuss knowledge as a social construct based on collective action, while others look at knowledge as an individual capacity for action. The chapters contain theoretical frameworks as well as experimental outcomes. Readers will gain insight into key questions such as: How does knowledge function as a prerequisite for action? Why are knowledge gaps growing and not diminishing in a knowledge society? How much knowledge is necessary for action? How do various types of knowledge influence the steps from cognition to action? How do different representations of knowledge shape action? What impact have spatial conditions for the formation of knowledge? What is the relationship between social and geographical space? The contributors consider rationality in social and economic theories as well as in everyday life. Attention is also given to action theoretic approaches and rationality from the viewpoints of psychology, post-structuralism, and human geography, making this an attractive book for students, researchers and academics of various backgrounds. This book is open access under a CC BY 4.0 license.

Research Methods in Anthropology is the standard textbook for methods classes in anthropology. Written in Russ BernardOs unmistakable conversational style, his guide has launched tens of thousands of students into the fieldwork enterprise with a combination of rigorous methodology, wry humor, and commonsense advice. The author has thoroughly updated this new fourth edition. Whether you are coming from a scientific, interpretive, or applied anthropological tradition, you will learn field methods from the best guide in both qualitative and quantitative methods.