Introduction to the Theories of Measurement and Meaningfulness and the Use of Symmetry in Science PDF Download
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Author: Louis Narens
Publisher: Psychology Press
ISBN: 1135594325
Category : Mathematics
Languages : en
Pages : 185
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Book Description
This book is designed to be an introduction to the theories of measurement and meaningfulness, and not a comprehensive study of those topics. A major theme of this book is the psychophysical measurement of subjective intensity. This has been a subject of intense interest in psychology from the very beginning of experimental psychology. And from tha
Author: Louis Narens
Publisher: Psychology Press
ISBN: 1135594325
Category : Mathematics
Languages : en
Pages : 185
Get Book Here
Book Description
This book is designed to be an introduction to the theories of measurement and meaningfulness, and not a comprehensive study of those topics. A major theme of this book is the psychophysical measurement of subjective intensity. This has been a subject of intense interest in psychology from the very beginning of experimental psychology. And from tha
Author: Louis Narens
Publisher: Taylor & Francis
ISBN: 9781410615985
Category : Measurement
Languages : en
Pages : 173
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Book Description
This book is designed to be an introduction to the theories of measurement and meaningfulness, and not a comprehensive study of those topics. A major theme of this book is the psychophysical measurement of subjective intensity. This has been a subject of intense interest in psychology from the very beginning of experimental psychology. And from that beginning to the present day, it has continuously generated major controversies involving measurement and meaningfulness.
Author: Ferenc Csatári
Publisher: Rowman & Littlefield
ISBN: 1498583008
Category : Philosophy
Languages : en
Pages : 165
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Book Description
Measurement and Meaning takes stock of the most important projects in the conceptual grounding of measurement, from early representational theories through the axiomatic approach to operationalism. Ferenc Csatári thoroughly analyzes the relevant philosophical issues and identifies the controversial points in these accounts. Meanwhile, he pays special attention to the peculiarities of measurement in the social sciences. As long as measurement is conceived as an assignment of numerical structures to represent properties—as traditionally done—one might feel obliged to account for continuum, errors, and truth. Csatári puts these key concepts under scrutiny and arrives at a non-trivial, constructive interpretation for each. On these new conceptual grounds, the active quest for congruence in phenomena will be the key to establishing meaningful measurement procedures.
Author: Jean-Claude Falmagne
Publisher: Springer
ISBN: 366246098X
Category : Computers
Languages : en
Pages : 175
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Book Description
The authors describe systematic methods for uncovering scientific laws a priori, on the basis of intuition, or “Gedanken Experiments”. Mathematical expressions of scientific laws are, by convention, constrained by the rule that their form must be invariant with changes of the units of their variables. This constraint makes it possible to narrow down the possible forms of the laws. It is closely related to, but different from, dimensional analysis. It is a mathematical book, largely based on solving functional equations. In fact, one chapter is an introduction to the theory of functional equations.
Author: David Torres Irribarra
Publisher: Springer Nature
ISBN: 3030740250
Category : Psychology
Languages : en
Pages : 96
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Book Description
This book aims to address the challenges of defining measurement in social sciences, presenting a conceptualization of the practice of measurement from the perspective of the pragmatic tradition in philosophy. The book reviews key questions regarding the scope and limits of measurement, emphasizing that if the trust that the public places on measures in the social sciences relies on their connection to the notion of measurement in the physical sciences, then the clarification of the similarities and differences between measurement in the physical and the social realms is of central importance to adequately contextualize their relative advantages and limitations. It goes on to present some of the most influential theories of measurement such as the “classical view” of measurement, operationalism, and the representational theory of measurement, as well as more methodological perspectives arising from the practice of researchers in the social sciences, such as the latent variable perspective, and from the physical sciences and engineering, represented by metrology. This overview illustrates that the concept of measurement, and that of quantitative methods, is currently being used across the board in ways that do not necessarily conform to traditional, classical definitions of measurement, pushing the boundaries of what constitutes our technical understanding of it. Moreover, what constitutes a technical understanding of measurement, and the theoretical commitments that it entails, must vary in different areas. In this context, disagreement on what is constitutive of measurement is bound to appear. Pragmatism is presented as a theoretical perspective that offers the advantage of being flexible and fallibilist, encouraging us to abandon the pursuit of a timeless and perfect definition that attempts to establish decontextualized/definitive demarcation criteria for what is truly measurement. This book will be of particular interest for psychologists and other human and social scientists, and more concretely for scholars interested in measurement and assessment in psychological and social measurement. The pragmatic perspective of measurement presents a conceptual framework for researchers to ground their assessment practices acknowledging and dealing with the challenges of social measurement.
Author: Birgitta Berglund
Publisher: Psychology Press
ISBN: 1136723749
Category : Psychology
Languages : en
Pages : 423
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Book Description
Measurements with persons are those in which human perception and interpretation are used for measuring complex, holistic quantities and qualities, which are perceived by the human brain and mind. Providing means for reproducible measurement of parameters such as pleasure and pain has important implications in evaluating all kind of products, services, and conditions. This book inaugurates a new era for this subject: a multi- and inter-disciplinary volume in which world-renowned scientists from the psychological, physical, biological, and social sciences reach a common understanding of measurement theory and methods. In the first section, generic theoretical and methodological issues are treated, including the conceptual basis of measurement in the various fields involved; the development of formal, representational, and probabilistic theories; the approach to experimentation; and the theories, models, and methods for multidimensional problems. In the second section, several implementation areas are presented, including sound, visual, skin, and odor perception, functional brain imagining, body language and emotions, and, finally, the use of measurements in decision making Measurement with Persons will appeal to a wide audience across a range of sciences, including general psychology and psychophysics, measurement theory, metrology and instrumentation, neurophysiology, engineering, biology, and chemistry.
Author: Virendra P. Sinha
Publisher: Springer Science & Business Media
ISBN: 9048194342
Category : Technology & Engineering
Languages : en
Pages : 164
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Book Description
Symmetries and Groups in Signal Processing: An Introduction deals with the subject of symmetry, and with its place and role in modern signal processing. In the sciences, symmetry considerations and related group theoretic techniques have had a place of central importance since the early twenties. In engineering, however, a matching recognition of their power is a relatively recent development. Despite that, the related literature, in the form of journal papers and research monographs, has grown enormously. A proper understanding of the concepts that have emerged in the process requires a mathematical background that goes beyond what is traditionally covered in an engineering undergraduate curriculum. Admittedly, there is a wide selection of excellent introductory textbooks on the subject of symmetry and group theory. But they are all primarily addressed to students of the sciences and mathematics, or to students of courses in mathematics. Addressed to students with an engineering background, this book is meant to help bridge the gap.
Author: F. Gregory Ashby
Publisher: Cambridge University Press
ISBN: 1108905099
Category : Psychology
Languages : en
Pages : 575
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Book Description
The field of mathematical psychology began in the 1950s and includes both psychological theorizing, in which mathematics plays a key role, and applied mathematics motivated by substantive problems in psychology. Central to its success was the publication of the first Handbook of Mathematical Psychology in the 1960s. The psychological sciences have since expanded to include new areas of research, and significant advances have been made both in traditional psychological domains and in the applications of the computational sciences to psychology. Upholding the rigor of the original Handbook, the New Handbook of Mathematical Psychology reflects the current state of the field by exploring the mathematical and computational foundations of new developments over the last half-century. The third volume provides up-to-date, foundational chapters on early vision, psychophysics and scaling, multisensory integration, learning and memory, cognitive control, approximate Bayesian computation, and encoding models in neuroimaging.
Author: Jun Otsuka
Publisher: Taylor & Francis
ISBN: 1000646939
Category : Philosophy
Languages : en
Pages : 204
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Book Description
Simply stated, this book bridges the gap between statistics and philosophy. It does this by delineating the conceptual cores of various statistical methodologies (Bayesian/frequentist statistics, model selection, machine learning, causal inference, etc.) and drawing out their philosophical implications. Portraying statistical inference as an epistemic endeavor to justify hypotheses about a probabilistic model of a given empirical problem, the book explains the role of ontological, semantic, and epistemological assumptions that make such inductive inference possible. From this perspective, various statistical methodologies are characterized by their epistemological nature: Bayesian statistics by internalist epistemology, classical statistics by externalist epistemology, model selection by pragmatist epistemology, and deep learning by virtue epistemology. Another highlight of the book is its analysis of the ontological assumptions that underpin statistical reasoning, such as the uniformity of nature, natural kinds, real patterns, possible worlds, causal structures, etc. Moreover, recent developments in deep learning indicate that machines are carving out their own "ontology" (representations) from data, and better understanding this—a key objective of the book—is crucial for improving these machines’ performance and intelligibility. Key Features Without assuming any prior knowledge of statistics, discusses philosophical aspects of traditional as well as cutting-edge statistical methodologies. Draws parallels between various methods of statistics and philosophical epistemology, revealing previously ignored connections between the two disciplines. Written for students, researchers, and professionals in a wide range of fields, including philosophy, biology, medicine, statistics and other social sciences, and business. Originally published in Japanese with widespread success, has been translated into English by the author.
Author: Ronaldo Vigo
Publisher: Psychology Press
ISBN: 1134690363
Category : Psychology
Languages : en
Pages : 261
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Book Description
The ability to learn concepts lies at the very core of human cognition, enabling us to efficiently classify, organize, identify, and store complex information. In view of the basic role that concepts play in our everyday physical and mental lives, the fields of cognitive science and psychology face three long standing challenges: discovering the laws that govern concept learning and categorization behavior in organisms, showing how they inform other areas of cognitive research, and describing them with the mathematical systematicity and precision found in the physical sciences. In light of these theoretical and methodological shortcomings, this volume will introduce a set of general mathematical principles for predicting and explaining conceptual behavior. The author’s theory is based on seven fundamental constructs of universal science: invariance, complexity, information, similarity, dissimilarity, pattern, and representation. These constructs are joined by a novel mathematical framework that does not depend on probability theory, and derives key results from conceptual behavior research with other key areas of cognitive research such as pattern perception, similarity assessment, and contextual choice. The result is a unique and systematic unifying foundation for cognitive science in the tradition of classical physics.
