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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 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.
"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.
Simple Heuristics That Make Us Smart invites readers to embark on a new journey into a land of rationality that differs from the familiar territory of cognitive science and economics. Traditional views of rationality tend to see decision makers as possessing superhuman powers of reason, limitless knowledge, and all of eternity in which to ponder choices. To understand decisions in the real world, we need a different, more psychologically plausible notion of rationality, and this book provides it. It is about fast and frugal heuristics--simple rules for making decisions when time is pressing and deep thought an unaffordable luxury. These heuristics can enable both living organisms and artificial systems to make smart choices, classifications, and predictions by employing bounded rationality. But when and how can such fast and frugal heuristics work? Can judgments based simply on one good reason be as accurate as those based on many reasons? Could less knowledge even lead to systematically better predictions than more knowledge? Simple Heuristics explores these questions, developing computational models of heuristics and testing them through experiments and analyses. It shows how fast and frugal heuristics can produce adaptive decisions in situations as varied as choosing a mate, dividing resources among offspring, predicting high school drop out rates, and playing the stock market. As an interdisciplinary work that is both useful and engaging, this book will appeal to a wide audience. It is ideal for researchers in cognitive psychology, evolutionary psychology, and cognitive science, as well as in economics and artificial intelligence. It will also inspire anyone interested in simply making good decisions.
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.
Thirty-five chapters describe various judgmental heuristics and the biases they produce, not only in laboratory experiments, but in important social, medical, and political situations as well. Most review multiple studies or entire subareas rather than describing single experimental studies.
How can we advance knowledge? Which methods do we need in order to make new discoveries? How can we rationally evaluate, reconstruct and offer discoveries as a means of improving the ‘method’ of discovery itself? And how can we use findings about scientific discovery to boost funding policies, thus fostering a deeper impact of scientific discovery itself? The respective chapters in this book provide readers with answers to these questions. They focus on a set of issues that are essential to the development of types of reasoning for advancing knowledge, such as models for both revolutionary findings and paradigm shifts; ways of rationally addressing scientific disagreement, e.g. when a revolutionary discovery sparks considerable disagreement inside the scientific community; frameworks for both discovery and inference methods; and heuristics for economics and the social sciences.
Including contributions from leading experts in the field, this book covers applications and developments of heuristic search methods for solving complex optimization problems. The book covers various local search strategies including genetic algorithms, simulated annealing, tabu search and hybrids thereof. These methods have proved extraordinarily successful by solving some of the most difficult, real-world problems. At the interface between Artificial Intelligence and Operational Research, research in this exciting area is progressing apace spurred on by the needs of industry and commerce. The introductory chapter provides a clear overview of the basic techniques and useful pointers to further reading and to current research. The second section of the book covers some of the most recent and exciting developments of the basic techniques, with suggestions not only for extending and improving these but also for hybridizing and incorporating automatic adaption. The third section contains a number of case studies, surveys and comparative studies which span a wide range of application areas ranging from the classic Steiner tree problem to more practical problems arising in telecommunications and data analysis. The coverage of the latest research and the illustrative case studies will ensure that the book is invaluable for researchers and professionals with an interest in heuristic search methods.
There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and multidimensional signal processing, namely image and video processing, with the recent focus changing from a step-by-step procedure of designing the algorithm first and following up with in-depth analysis and performance improvement to instead applying heuristic-based methods to solve signal-processing problems. In this book the contributing authors demonstrate both general-purpose algorithms and those aimed at solving specialized application problems, with a special emphasis on heuristic iterative optimization methods employing modern evolutionary and swarm intelligence based techniques. The applications considered are in domains such as communications engineering, estimation and tracking, digital filter design, wireless sensor networks, bioelectric signal classification, image denoising, and image feature tracking. The book presents interesting, state-of-the-art methodologies for solving real-world problems and it is a suitable reference for researchers and engineers in the areas of heuristics and signal processing.