New Handbook of Mathematical Psychology: Volume 2, Modeling and Measurement PDF Download
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Author: William H. Batchelder
Publisher: Cambridge University Press
ISBN: 1108632467
Category : Psychology
Languages : en
Pages : 631
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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 in both 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 second volume focuses on areas of mathematics that are used in constructing models of cognitive phenomena and decision making, and on the role of measurement in psychology.
Author: William H. Batchelder
Publisher: Cambridge University Press
ISBN: 1108632467
Category : Psychology
Languages : en
Pages : 631
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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 in both 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 second volume focuses on areas of mathematics that are used in constructing models of cognitive phenomena and decision making, and on the role of measurement in psychology.
Author: Jerome R. Busemeyer
Publisher:
ISBN: 0199957991
Category : Psychology
Languages : en
Pages : 425
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Book Description
This Oxford Handbook offers a comprehensive and authoritative review of important developments in computational and mathematical psychology. With chapters written by leading scientists across a variety of subdisciplines, it examines the field's influence on related research areas such as cognitive psychology, developmental psychology, clinical psychology, and neuroscience. The Handbook emphasizes examples and applications of the latest research, and will appeal to readers possessing various levels of modeling experience. The Oxford Handbook of Computational and mathematical Psychology covers the key developments in elementary cognitive mechanisms (signal detection, information processing, reinforcement learning), basic cognitive skills (perceptual judgment, categorization, episodic memory), higher-level cognition (Bayesian cognition, decision making, semantic memory, shape perception), modeling tools (Bayesian estimation and other new model comparison methods), and emerging new directions in computation and mathematical psychology (neurocognitive modeling, applications to clinical psychology, quantum cognition). The Handbook would make an ideal graduate-level textbook for courses in computational and mathematical psychology. Readers ranging from advanced undergraduates to experienced faculty members and researchers in virtually any area of psychology--including cognitive science and related social and behavioral sciences such as consumer behavior and communication--will find the text useful.
Author: Howard E.A. Tinsley
Publisher: Academic Press
ISBN: 0080533566
Category : Mathematics
Languages : en
Pages : 751
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Book Description
Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities.
Author: Kees van Montfort
Publisher: Springer Science & Business Media
ISBN: 1402019580
Category : Psychology
Languages : en
Pages : 364
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Book Description
After Karl Jöreskog's first presentation in 1970, Structural Equation Modelling or SEM has become a main statistical tool in many fields of science. It is the standard approach of factor analytic and causal modelling in such diverse fields as sociology, education, psychology, economics, management and medical sciences. In addition to an extension of its application area, Structural Equation Modelling also features a continual renewal and extension of its theoretical background. The sixteen contributions to this book, written by experts from many countries, present important new developments and interesting applications in Structural Equation Modelling. The book addresses methodologists and statisticians professionally dealing with Structural Equation Modelling to enhance their knowledge of the type of models covered and the technical problems involved in their formulation. In addition, the book offers applied researchers new ideas about the use of Structural Equation Modeling in solving their problems. Finally, methodologists, mathematicians and applied researchers alike are addressed, who simply want to update their knowledge of recent approaches in data analysis and mathematical modelling.
Author: P. Humphreys
Publisher: Springer Science & Business Media
ISBN: 9780792325536
Category : Language Arts & Disciplines
Languages : en
Pages : 340
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Book Description
Patrick Suppes is a philosopher and scientist whose contributions range over probability and statistics, mathematical and experimental psychology, the foundations of physics, education theory, the philosophy of language, measurement theory, and the philosophy of science. He has also been a pioneer in the area of computer assisted instruction. In each of these areas, Suppes has provided seminal ideas that in some cases led to shaping the direction of research in the field. The papers contained in this collection were commissioned with the mandate of advancing research in their respective fields rather than retrospectively surveying the contributions that Suppes himself has made. The authors form an interesting mixture of researchers in both formal philosophy of science and science itself all of whom have been inspired by his ideas. To maintain the spirit of constructive dialogue that characterizes Suppes's intellectual style, he has written individual responses to each article. In Volume 1: Probability and Probabilistic Causality, nineteen distinguished philosophers and scientists focus their attention on probabilistic issues. In Part I the contributors explore axiomatic representations of probability theory including qualitative and interval valued probabilities as well as traditional point valued probabilities. Belief structures and the dynamics of belief are also treated in detail. In Part II the rapidly growing field of probabilistic causation is assessed from both formal and empirical viewpoints. For probability theorists, statisticians, economists, philosophers of science, psychologists and those interested in the foundations of mathematical social science. In Volume 2: Philosophy of Physics, Theory Structure, and Measurement Theory, fifteen distinguished philosophers and scientists cover a wide variety of topics. Part III covers issues in quantum theory, geometry, classical mechanics, and computational physics. Part IV explores Suppes's well known set-theoretic account of scientific theories which has served him well throughout his career. Suppes's contributions to measurement theory have been widely used in mathematical psychology and elsewhere, and this material is the subject of Part V. For physicists, logicians, workers in mathematical social sicence, and philosophers of science. In Volume 3: Philosophy of Language and Logic, Learning and Action Theory, fourteen distinguished philosophers and scientists explore issues in the philosophy of language, logic, and philosophical psychology. Suppes's suggestions that quantum theory requires a rethinking of classical logic form a particularly sharp account of that controversial thesis, and Part VI deals with this issue together with topics in the philosophy of language and logic, including relational grammars and anaphora. Part VII deals with issues in psychology, action theory, and robotics, while Part VIII concludes with a general survey of Suppes's views in the philosophy of science. A comprehensive chronological and topical bibliography of Suppes's writings is included in this volume. For philosophers of language, theoretical linguists, logicians, workers in mathematical social sciences, and philosophers of science.
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: Mark Stemmler
Publisher: Springer
ISBN: 3319205854
Category : Social Science
Languages : en
Pages : 385
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Book Description
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful.
Author: Ruth Kanfer
Publisher: Routledge
ISBN: 1134751109
Category : Education
Languages : en
Pages : 540
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Book Description
Diverse developments in ability and motivation research, and in the derivations of new methodological techniques have often run on parallel courses. The editors of this volume felt that communication across domains could be vastly improved through intensive interaction between researchers. This interaction was realized in The Minnesota Symposium on Learning and Individual Differences, which directly addressed ability, motivation and methodology concerns. This book, compiled as a result of the Symposium, unites theoretical and empirical advances in learning and individual differences. The resulting volume, divided in five parts, encompasses not only prepared papers that were presented at the symposium, but compiled and edited transcriptions of the spontaneous discussions that took place at the symposium. Part I provides an orientation to the treatment of learning and individual differences from three major perspectives: experimental psychology, motivational psychology, and differential/ methodological psychology. Part II continues and expands the discussion of quantitative methodology and applications to learning and individual differences. Part III is devoted primarily to developments in the cognitive ability domain, while Part IV addresses the impact of non-cognitive, personal constructs on learning and performance. The volume concludes with Part V which contains chapters from the closing session of the conference.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 264
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Book Description
Author: Gideon Keren
Publisher: Psychology Press
ISBN: 1317759982
Category : Psychology
Languages : en
Pages : 587
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Book Description
Statistical methodology is often conceived by social scientists in a technical manner; they use it for support rather than for illumination. This two-volume set attempts to provide some partial remedy to the problems that have led to this state of affairs. Both traditional issues, such as analysis of variance and the general linear model, as well as more novel methods like exploratory data analysis, are included. The editors aim to provide an updated survey on different aspects of empirical research and data analysis, facilitate the understanding of the internal logic underlying different methods, and provide novel and broader perspectives beyond what is usually covered in traditional curricula.
