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Focused on exploring human experience from an authentic researcher perspective, Heuristic Inquiry: Researching Human Experience Holistically presents heuristic inquiry as a unique phenomenological, experiential, and relational approach to qualitative research that is also rigorous and evidence-based. Nevine Sultan describes a distinguishing perspective of this research that treats participants not as subjects of research but rather as co-researchers in an exploratory process marked by genuineness and intersubjectivity. Through the use of real-life examples illustrating the various processes of heuristic research, the book offers an understanding of heuristic inquiry that is straightforward and informal yet honors its creative, intuitive, and poly-dimensional nature.
Well-organized and well-referenced, this book gives a clear presentation of heuristic methodology as a systematic form of qualitative research. Investigators of human experiences will find this book invaluable as a research guide. The author illustrates how heuristic concepts and processes form components of the research design and become the basis for a methodology. There is a clear explanation of how heuristic inquiry works in practice and the actual process of conducting a human science investigation is described in detail.
Focused on exploring human experience from an integrative perspective, Heuristic Inquiry: Researching Human Experience Holistically presents heuristic inquiry as a unique phenomenologically aligned, experiential, and relational approach to qualitative research that is also rigorous and evidence based. The author describes a distinguishing perspective of this research that treats participants not as subjects of research but rather as co-researchers in an exploratory process marked by genuineness and intersubjectivity. Through the use of real-life examples illustrating the various processes of heuristic research, the book offers an understanding of heuristic inquiry that is straightforward and informal yet honors its creative, intuitive, and polydimensional nature. "A must-read for anyone interested in qualitative research." Graham Bright, York St John University, UK "This text provides a valuable service to novice and experienced researchers through its straightforward, yet complex and nuanced approach to heuristic inquiry." –Joseph McNabb, Northeastern University
Many resources exist to help new doctoral investigators to understand and engage with the tenets and philosophies that underpin doctoral-level research to allow for a sample of self-as-subject research. Every day, new forms of researcher-participant data collection and analysis protocols and contributions to the respective discipline in the use of these methods are designed by doctoral researchers and other scholars for heuristic inquiry and autoethnography. Autoethnography and Heuristic Inquiry for Doctoral-Level Researchers: Emerging Research and Opportunities is an essential research publication that explores the conventions of autoethnography or heuristic research within the specific context of doctoral-level research. In contrast to similar resources, this book presents various and unique systematic methods and procedures used within current research for data collection, analysis, interpretation and representations of data, and study contributions to illustrate the varied nuances and many choices doctoral-level researchers have when their research design is founded on the principles and tenets of autoethnography or heuristic inquiry. Thus, this book is ideal for doctoral research supervisors, doctoral students, independent researchers, and academicians.
The authors explain and discuss a series of transpersonal research methods designed to help researchers develop new ways of investigating extraordinary human experiences of a subjective nature.
Qualitative research is designed to explore the human elements of a given topic, while specific qualitative methods examine how individuals see and experience the world. Qualitative approaches are typically used to explore new phenomena and to capture individuals′ thoughts, feelings, or interpretations of meaning and process. Such methods are central to research conducted in education, nursing, sociology, anthropology, information studies, and other disciplines in the humanities, social sciences, and health sciences. Qualitative research projects are informed by a wide range of methodologies and theoretical frameworks. The SAGE Encyclopedia of Qualitative Research Methods presents current and complete information as well as ready-to-use techniques, facts, and examples from the field of qualitative research in a very accessible style. In taking an interdisciplinary approach, these two volumes target a broad audience and fill a gap in the existing reference literature for a general guide to the core concepts that inform qualitative research practices. The entries cover every major facet of qualitative methods, including access to research participants, data coding, research ethics, the role of theory in qualitative research, and much more—all without overwhelming the informed reader. Key Features Defines and explains core concepts, describes the techniques involved in the implementation of qualitative methods, and presents an overview of qualitative approaches to research Offers many entries that point to substantive debates among qualitative researchers regarding how concepts are labeled and the implications of such labels for how qualitative research is valued Guides readers through the complex landscape of the language of qualitative inquiry Includes contributors from various countries and disciplines that reflect a diverse spectrum of research approaches from more traditional, positivist approaches, through postmodern, constructionist ones Presents some entries written in first-person voice and others in third-person voice to reflect the diversity of approaches that define qualitative work Key Themes Approaches and Methodologies Arts-Based Research, Ties to Computer Software Data Analysis Data Collection Data Types and Characteristics Dissemination History of Qualitative Research Participants Quantitative Research, Ties to Research Ethics Rigor Textual Analysis, Ties to Theoretical and Philosophical Frameworks The SAGE Encyclopedia of Qualitative Research Methods is designed to appeal to undergraduate and graduate students, practitioners, researchers, consultants, and consumers of information across the social sciences, humanities, and health sciences, making it a welcome addition to any academic or public library.
One key responsibility of product designers and UX practitioners is to conduct formal and informal research to clarify design decisions and business needs. But there’s often mystery around product research, with the feeling that you need to be a research Zen master to gather anything useful. Fact is, anyone can conduct product research. With this quick reference guide, you’ll learn a common language and set of tools to help you carry out research in an informed and productive manner. This book contains four sections, including a brief introduction to UX research, planning and preparation, facilitating research, and analysis and reporting. Each chapter includes a short exercise so you can quickly apply what you’ve learned. Learn what it takes to ask good research questions Know when to use quantitative and qualitative research methods Explore the logistics and details of coordinating a research session Use softer skills to make research seem natural to participants Learn tools and approaches to uncover meaning in your raw data Communicate your findings with a framework and structure
"A gem . . . . It is most definitely a work of major significance both historically and methodologically . . . . You′ve got a classic on your hands. As for me and some of my colleagues . . . you will have our personal and classroom orders the moment the book comes out." --Mike Arons, West Georgia College "The book is well-organized and the content is comprehensive. The writing is clear and well-referenced. The examples are excellent . . . . I teach a course annually on Research Methods and Theory. I would recommend the book to those students and . . . would also promote the book among evaluators. Dr. Moustakas is an eminent scholar with a unique and important perspective. I believe this book could become a classic like Polanyi′s book." --Michael Quinn Patton, University of Minnesota "The organization and content of this book is very good. The writing is excellent. Clarity is a strong point . . . . [This] book is . . . an important contribution to the growing interest and activity in phenomenological approaches to research . . . . For advanced undergraduate . . . and graduate courses and . . . as a resource book [for] professionals." --Willard B. Frick, Albion College "A powerful and much-awaited contribution to human science methodology by clearly presenting the conceptual foundations and core processes of the heuristic model. Heuristic Research is an intense and comprehensive book for researchers, mental health practitioners, and those who value self-discovery in the fullness of the moment . . . . He gracefully weaves well-chosen examples from research studies and relevant literature into his discussions, allowing us easy access to his ideas." --Association of Humanistic Psychology "The manuscript is well-conceived and thoughtfully organized. The timely use of concrete examples is a strong feature of the book in a field that is highly philosophical and theoretical . . . . I wholeheartedly endorse this book." --Kevin MacNeil, Family Life Institute, Sydney, Nova Scotia, Canada "The contents of the book . . . are laid out with a clarity rarely seen in the humanistic psychology literature." --Choice "A strikingly original contribution to qualitative methodology by Clark Moustakas. It is distinguishable above all by the intensely personal character of the research." --The Humanistic Psychologist "This book gives a clear presentation of heuristic methodology as a systematic form of qualitative research. It includes an explanation of how heuristic inquiry works in practice and the actual process of conducting a human science investigation is described in detail." --Bulletin de Methodologie Sociologique "By calling attention to the meanings and uses of tacit knowing and intuition as we seek to formulate and address questions in psychology, Moustakas helps us recognize the importance of cultivating heuristic sources and the formidable challenge of doing so. His book also serves to remind us of the preconceptions of a field that largely acts as if such sources can be ignored or given very short shrift indeed." --Contemporary Psychology A first of its kind, Heuristic Research presents heuristic methodology as an organized and systematic form for investigating human experience. Moustakas clearly illustrates how heuristic concepts and processes form both the components of the research design and the basis for a methodology. The mechanics of how heuristic inquiry works in practice are discussed and, using a step-by-step approach, the actual process of conducting a human science investigation is thoroughly outlined. Moustakas carefully describes various applications of heuristic research, the phases of heuristic research, and how to analyze collected data. In addition, practical examples are provided to guide the reader through the research process. Clearly written and well organized, Heuristic Research is certain to interest researchers and students in evaluation, psychology, social psychology, gender studies, gerontology, family studies, and sociology.
Employ heuristic adjustments for truly accurate analysis Heuristics in Analytics presents an approach to analysis that accounts for the randomness of business and the competitive marketplace, creating a model that more accurately reflects the scenario at hand. With an emphasis on the importance of proper analytical tools, the book describes the analytical process from exploratory analysis through model developments, to deployments and possible outcomes. Beginning with an introduction to heuristic concepts, readers will find heuristics applied to statistics and probability, mathematics, stochastic, and artificial intelligence models, ending with the knowledge applications that solve business problems. Case studies illustrate the everyday application and implication of the techniques presented, while the heuristic approach is integrated into analytical modeling, graph analysis, text analytics, and more. Robust analytics has become crucial in the corporate environment, and randomness plays an enormous role in business and the competitive marketplace. Failing to account for randomness can steer a model in an entirely wrong direction, negatively affecting the final outcome and potentially devastating the bottom line. Heuristics in Analytics describes how the heuristic characteristics of analysis can be overcome with problem design, math and statistics, helping readers to: Realize just how random the world is, and how unplanned events can affect analysis Integrate heuristic and analytical approaches to modeling and problem solving Discover how graph analysis is applied in real-world scenarios around the globe Apply analytical knowledge to customer behavior, insolvency prevention, fraud detection, and more Understand how text analytics can be applied to increase the business knowledge Every single factor, no matter how large or how small, must be taken into account when modeling a scenario or event—even the unknowns. The presence or absence of even a single detail can dramatically alter eventual outcomes. From raw data to final report, Heuristics in Analytics contains the information analysts need to improve accuracy, and ultimately, predictive, and descriptive power.
Most textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search, simulated annealing, and others, but fail to teach the underlying concepts behind these different approaches. The author takes a different approach in this textbook by focusing on the users' needs and answering three fundamental questions: First, he tells us which problems modern heuristics are expected to perform well on, and which should be left to traditional optimization methods. Second, he teaches us to systematically design the "right" modern heuristic for a particular problem by providing a coherent view on design elements and working principles. Third, he shows how we can make use of problem-specific knowledge for the design of efficient and effective modern heuristics that solve not only small toy problems but also perform well on large real-world problems. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use.