Thurstonian Models
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Author | : John I Marden |
Publisher | : CRC Press |
Total Pages | : 345 |
Release | : 2014-01-23 |
Genre | : Mathematics |
ISBN | : 148225249X |
This book is the first single source volume to fully address this prevalent practice in both its analytical and modeling aspects. The information discussed presents the use of data consisting of rankings in such diverse fields as psychology, animal science, educational testing, sociology, economics, and biology. This book systematically presents th
Author | : Susan Tedja |
Publisher | : |
Total Pages | : 238 |
Release | : 1994 |
Genre | : |
ISBN | : |
Author | : Kees van Montfort |
Publisher | : Springer Science & Business Media |
Total Pages | : 380 |
Release | : 2004-04-30 |
Genre | : Psychology |
ISBN | : 9781402019579 |
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 | : Michael A. Fligner |
Publisher | : Springer Science & Business Media |
Total Pages | : 330 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461227380 |
In June of 1990, a conference was held on Probablity Models and Statisti cal Analyses for Ranking Data, under the joint auspices of the American Mathematical Society, the Institute for Mathematical Statistics, and the Society of Industrial and Applied Mathematicians. The conference took place at the University of Massachusetts, Amherst, and was attended by 36 participants, including statisticians, mathematicians, psychologists and sociologists from the United States, Canada, Israel, Italy, and The Nether lands. There were 18 presentations on a wide variety of topics involving ranking data. This volume is a collection of 14 of these presentations, as well as 5 miscellaneous papers that were contributed by conference participants. We would like to thank Carole Kohanski, summer program coordinator for the American Mathematical Society, for her assistance in arranging the conference; M. Steigerwald for preparing the manuscripts for publication; Martin Gilchrist at Springer-Verlag for editorial advice; and Persi Diaconis for contributing the Foreword. Special thanks go to the anonymous referees for their careful readings and constructive comments. Finally, we thank the National Science Foundation for their sponsorship of the AMS-IMS-SIAM Joint Summer Programs. Contents Preface vii Conference Participants xiii Foreword xvii 1 Ranking Models with Item Covariates 1 D. E. Critchlow and M. A. Fligner 1. 1 Introduction. . . . . . . . . . . . . . . 1 1. 2 Basic Ranking Models and Their Parameters 2 1. 3 Ranking Models with Covariates 8 1. 4 Estimation 9 1. 5 Example. 11 1. 6 Discussion. 14 1. 7 Appendix . 15 1. 8 References.
Author | : |
Publisher | : Elsevier |
Total Pages | : 458 |
Release | : 2011-08-11 |
Genre | : Mathematics |
ISBN | : 0080471269 |
This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. - Covers a wide class of important models - Models and statistical methods described provide tools for analyzing a wide spectrum of complicated data - Includes illustrative examples with real data sets from business, education, medicine, public health and sociology. - Demonstrates the use of a wide variety of statistical, computational, and mathematical techniques.
Author | : Hal MacFie |
Publisher | : Elsevier |
Total Pages | : 632 |
Release | : 2007-06-30 |
Genre | : Technology & Engineering |
ISBN | : 1845693388 |
Consumer acceptance is the key to successful food products. It is vital, therefore, that product development strategies are consumer-led for food products to be well received. Consumer-led food product development presents an up-to-date review of the latest scientific research and methods in this important area.Part one gives the reader a general introduction to factors affecting consumer food choice. Chapters explore issues such as sensory perception, culture, ethics, attitudes towards innovation and psychobiological mechanisms. Part two analyses methods to understand consumers' food-related attitudes and how these methods can be effectively used, covering techniques such as means-end chains and the food-related lifestyle approach. The final part of the book addresses a wide variety of methods used for consumer-led product development. Opportunity identification, concept development, difference testing and preference trials are discussed, as well as the use of techniques such as just-about-right scales and partial least squares methods.Written by an array of international experts, Consumer-led food product development is an essential reference for product developers in the food industry. - Introduces the factors affecting consumer food choice - Explores issues such as sensory perception, culture and ethics - Analyses methods to understand food related attitudes
Author | : F. Gregory Ashby |
Publisher | : Psychology Press |
Total Pages | : 582 |
Release | : 2014-02-04 |
Genre | : Education |
ISBN | : 1317784030 |
The mental representations of perceptual and cognitive stimuli vary on many dimensions. In addition, because of quantal fluctuations in the stimulus, spontaneous neural activity, and fluctuations in arousal and attentiveness, mental events are characterized by an inherent variability. During the last several years, a number of models and theories have been developed that explicitly assume the appropriate mental representation is both multidimensional and probabilistic. This new approach has the potential to revolutionize the study of perception and cognition in the same way that signal detection theory revolutionized the study of psychophysics. This unique volume is the first to critically survey this important new area of research.
Author | : Hans Colonius |
Publisher | : Psychology Press |
Total Pages | : 255 |
Release | : 2013-05-13 |
Genre | : Psychology |
ISBN | : 1136871799 |
Measurement and Representation of Sensations offers a glimpse into the most sophisticated current mathematical approaches to psychophysical problems. In this book, editors Hans Colonius and Ehtibar N. Dzhafarov, top scholars in the field, present a broad spectrum of innovative approaches and techniques to classical problems in psychophysics at different levels of stimulus complexity. The chapters emphasize rigorous mathematical constructions to define psychophysical concepts and relate them to observable phenomena. The techniques presented, both deterministic and probabilistic, are all original and recent. Subjects addressed throughout the six chapters of this volume include: *computing subjective distances from discriminability; *a new psychophysical theory of intensity judgments; *computing subjective distances from two discriminability functions; *an alternative to the model-building approach based on observable probabilities; and *possible forms of perceptual separability developed within a generalization of General Recognition Theory. Measurement and Representation of Sensations is a valuable text for both behavioral scientists and applied mathematicians.
Author | : Jacqueline H. Beckley |
Publisher | : John Wiley & Sons |
Total Pages | : 45 |
Release | : 2012-03-07 |
Genre | : Technology & Engineering |
ISBN | : 1118229207 |
Product Innovation Toolbox: A Field Guide to Consumer Understanding and Research brings together key thought-leaders and seasoned consumer researchers from corporate R&D, academia and marketing research companies to share their experiences, cutting edge consumer research tools and practical tips for successful and sustainable product innovation. This is an essential resource for product developers, marketers and technologists who want to implement consumer-centric innovation and are responsible for designing product-testing strategies from upfront innovation to support new product development. The scope of the book by chapter shows the steps that transform a consumer researcher to a Consumer Explorer that guides the project team to successful innovation and new product introductions. Product Innovation Toolbox is designed to appeal to broad audiences from consumer researchers, product developers, marketers and executives. With an emphasis on consumer understanding and examples that range from cheese to lipstick and printers to energy beverages, Product Innovation Toolbox offers guidelines and best practices for strategizing, planning and executing studies with confidence and high efficiency yielding faster and better insights.
Author | : G. de Soete |
Publisher | : Elsevier |
Total Pages | : 365 |
Release | : 1989-09-18 |
Genre | : Psychology |
ISBN | : 0080867146 |
A selection of 15 papers on choice modeling are presented in this volume. These papers result from research in the social and behavioral sciences and in economics. The models, some deterministic, some probabilistic, represent recent developments in the tradition of Thurstone's Law of Comparative Judgement, Coombs' unfolding theory and multidimensional scaling. The theoretical contributions and several applications to voting behaviour, consumer research and preference rankings show the important progress made in psychological choice modeling during the last few years.