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Contributions to Mathematical Psychology, Psycho§ metrics and Methodology presents the most esteemed research findings of the 22nd European Mathematical Psychology Group meeting in Vienna, Austria, September 1991. The selection of work appearing in this volume contains not only contributions to mathematical psychology in the narrow sense, but also work in psychometrics and methodology, with the common element of all contributions being their attempt to deal with scientific problems in psychology with rigorous mathematics reasoning. The book contains 28 chapters divided into five parts: Perception, Learning, and Cognition; Choice and Reaction Time; Social Systems; Measurement and Psychometrics; and Methodology. It is of interest to all mathematical psychologists, educational psychologists, and graduate students in these areas.
Knowledge Spaces offers a rigorous mathematical foundation for various practical systems of knowledge assessment, applied to real and simulated data. The systematic presentation extends research results to new situations, as well as describing how to build the knowledge structure in practice. The book also contains numerous examples and exercises and an extensive bibliography. This interdisciplinary representation of the theory of knowledge spaces will be of interest to mathematically oriented readers in computer science and combinatorics.
In this volume, researchers employing Falmagne's theory of knowledge spaces describe its relevance and utility for a wide variety of problems in cognition, ranging from chess to swimming to inductive reasoning. For cognitive scientists of all sorts.
This book answers the question of whether we can apply evolutionary theories to our understanding of the development of social structures. Social networks have increasingly become the focus of many social scientists as a way of analyzing these social structures. While many powerful network analytic tools have been developed and applied to a wide range of empirical phenomena, understanding the evolution of social organization still requires theories and analyses of social network evolutionary processes. Researchers from a variety of disciplines have combined their efforts in what is an indication of some very promising future research and the work represented in this volume provides a basis for a sustained analysis of the evolution of social life.
Dynamic Assessment, Intelligence and Measurement paves the way for the development of dynamic assessment by applying this unique approach to the assessment of human potential. Explores the relationship that dynamic assessment shares with intelligence and measurement Outlines a new approach to the assessment of human intelligence while remaining rooted within the scientific realm of psychology Fuses philosophy, science methodology, and meta-theory to offer an innovative framework for the assessment of models and theories, dynamic assessment, intelligence, measurement theory, and statistical significance testing Provides the theoretical underpinnings that can lead to a new way forward for the 'movement' of dynamic assessment
Drawing on the work of 75 internationally acclaimed experts in the field, Handbook of Item Response Theory, Three-Volume Set presents all major item response models, classical and modern statistical tools used in item response theory (IRT), and major areas of applications of IRT in educational and psychological testing, medical diagnosis of patient-reported outcomes, and marketing research. It also covers CRAN packages, WinBUGS, Bilog MG, Multilog, Parscale, IRTPRO, Mplus, GLLAMM, Latent Gold, and numerous other software tools. A full update of editor Wim J. van der Linden and Ronald K. Hambleton’s classic Handbook of Modern Item Response Theory, this handbook has been expanded from 28 chapters to 85 chapters in three volumes. The three volumes are thoroughly edited and cross-referenced, with uniform notation, format, and pedagogical principles across all chapters. Each chapter is self-contained and deals with the latest developments in IRT.
The first international handbook to bring the areas of reasoning,judgment and decision making together, now in paperback format. The book brings three of the important topics of thinkingtogether - reasoning, judgment and decision making â?? anddiscusses key issues in each area. The studies described range fromthose that are purely laboratory based to those that involveexperts making real world judgments, in areas such as medical andlegal decision making and political and economic forecasting. * International collection of original chapters by leadingresearchers in the field * Several chapters contain important new theoreticalperspectives * Paperback version is more affordable for individualresearchers
Introduction to measurement -- The one-parameter model -- Joint maximum likelihood parameter estimation -- Marginal maximum likelihood parameter estimation -- The two-parameter model -- The three-parameter model -- Rasch models for ordered polytomous data -- Non-Rasch models for ordered polytomous data -- Models for nominal polytomous data -- Models for multidimensional data -- Linking and equating -- Differential item functioning -- Multilevel IRT models.
This book is a sign of its times. Each one of the chapters - papers written by European authors of various backgrounds- illustrates a departure from the style of theorizing that has been prominent in the behavioral and social sciences for most of the century. Until very recently, models for behavioral phenomena were chi~fly based on numerical representations of the objects of concern, e. g. the subjects and the stimuli under study. This was due in large part to the influence of nineteenth century physics, which played the role of the successful older sister, the one that had to be imitated if one wished to be taken seriously in scientific circles. The mystical belief that there could be science only when the objects of concern were susceptible of measurement in the sense of physics was a credo that could not be violated without risks. Another, more honor able justification was that the numerical models were the only ones capable of feasible calculations. (In fact, these models were typically linear. ) An early example of such theorizing in psychology is factor analysis, which attempted to represent the results of mental tests in a real vector space of small dimen sionality, each subject being represented by a point in that space. A dimension Wa£ interpreted as a scale measuring some mental ability. The analysis was simple, and only required an electrical desk calculator (with spinning wheels), and a suitable amount of determination.
Wittgenstein famously remarked in 1923, "Darwin's theory has no more relevance for philosophy than any other hypothesis in natural science." Yet today we are witnessing a major revival of interest in applying evolutionary approaches to philosophical problems. Philosophy after Darwin is an anthology of essential writings covering the most influential ideas about the philosophical implications of Darwinism, from the publication of On the Origin of Species to today's cutting-edge research. Michael Ruse presents writings by leading modern thinkers and researchers--including some writings never before published--together with the most important historical documents on Darwinism and philosophy, starting with Darwin himself. Included here are Herbert Spencer, Friedrich Nietzsche, Thomas Henry Huxley, G. E. Moore, John Dewey, Konrad Lorenz, Stephen Toulmin, Karl Popper, Edward O. Wilson, Hilary Putnam, Philip Kitcher, Elliott Sober, and Peter Singer. Readers will encounter some of the staunchest critics of the evolutionary approach, such as Alvin Plantinga, as well as revealing excerpts from works like Jack London's The Call of the Wild. Ruse's comprehensive general introduction and insightful section introductions put these writings in context and explain how they relate to such fields as epistemology, philosophy of mind, philosophy of language, and ethics. An invaluable anthology and sourcebook, Philosophy after Darwin traces philosophy's complicated relationship with Darwin's dangerous idea, and shows how this relationship reflects a broad movement toward a secular, more naturalistic understanding of the human experience.