A New Multidimensional Scaling Methodology For The Spatial Representation Of Binary Choice Data
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A Stochastic Multidimensional Scaling Vector Threshold Model for the Spatial Representation of 'Pick Any/N' Data
Author | : Wayne S. DeSarbo |
Publisher | : |
Total Pages | : 0 |
Release | : 2016 |
Genre | : |
ISBN | : |
This paper presents a new stochastic multidimensional scaling vector threshold model designed to analyze “pick any/n” choice data (e.g., consumers rendering buy/no buy decisions concerning a number of actual products). A maximum likelihood procedure is formulated to estimate a joint space of both individuals (represented as vectors) and stimuli (represented as points). The relevant psychometric literature concerning the spatial treatment of such binary choice data is reviewed. The nonlinear probit type model is described, as well as the conjugate gradient procedure used to estimate parameters. Results of Monte Carlo analyses investigating the performance of this methodology with synthetic choice data sets are presented. An application concerning consumer choices for eleven competitive brands of soft drinks is discussed. Finally, directions for future research are presented in terms of further applications and generalizing the model to accommodate three-way choice data.
Bayesian Analysis of a Binary Choice Multidimensional Scaling Model with Correlated Errors Using the Gibbs Sampling Method
Author | : Youngchan Kim |
Publisher | : |
Total Pages | : 266 |
Release | : 1995 |
Genre | : Analysis of variance |
ISBN | : |
A New Multidimensional Scaling Model Incorporating Context Effects
Author | : Juyoung Kim |
Publisher | : |
Total Pages | : 302 |
Release | : 1993 |
Genre | : Consumers' preferences |
ISBN | : |
Multidimensional Scaling
Author | : Forrest W. Young |
Publisher | : Psychology Press |
Total Pages | : 318 |
Release | : 2013-05-13 |
Genre | : Psychology |
ISBN | : 1135059896 |
This outstanding presentation of the fundamentals of multidimensional scaling illustrates the applicability of MDS to a wide variety of disciplines. The first two sections provide ground work in the history and theory of MDS. The final section applies MDS techniques to such diverse fields as physics, marketing, and political science.
Applied Multidimensional Scaling and Unfolding
Author | : Ingwer Borg |
Publisher | : Springer |
Total Pages | : 128 |
Release | : 2018-05-16 |
Genre | : Computers |
ISBN | : 3319734717 |
This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of two dimensions). Unfolding is a related method that maps preference data (typically evaluative ratings of different persons on a set of objects) as distances between two sets of points (representing the persons and the objects, resp.). This second edition has been completely revised to reflect new developments and the coverage of unfolding has also been substantially expanded. Intended for applied researchers whose main interests are in using these methods as tools for building substantive theories, it discusses numerous applications (classical and recent), highlights practical issues (such as evaluating model fit), presents ways to enforce theoretical expectations for the scaling solutions, and addresses the typical mistakes that MDS/unfolding users tend to make. Further, it shows how MDS and unfolding can be used in practical research work, primarily by using the smacof package in the R environment but also Proxscal in SPSS. It is a valuable resource for psychologists, social scientists, and market researchers, with a basic understanding of multivariate statistics (such as multiple regression and factor analysis).
Fundamentals of Applied Multidimensional Scaling for Educational and Psychological Research
Author | : Cody S. Ding |
Publisher | : Springer |
Total Pages | : 197 |
Release | : 2018-04-09 |
Genre | : Social Science |
ISBN | : 3319781723 |
This book explores the fundamentals of multidimensional scaling (MDS) and how this analytic method can be used in applied setting for educational and psychological research. The book tries to make MDS more accessible to a wider audience in terms of the language and examples that are more relevant to educational and psychological research and less technical so that the readers are not overwhelmed by equations. The goal is for readers to learn the methods described in this book and immediately start using MDS via available software programs. The book also examines new applications that have previously not been discussed in MDS literature. It should be an ideal book for graduate students and researchers to better understand MDS. Fundamentals of Applied Multidimensional Scaling for Educational and Psychological Research is divided into three parts. Part I covers the basic and fundamental features of MDS models pertaining to applied research applications. Chapters in this section cover the essential features of data that are typically associated with MDS analysis such as preference ration or binary choice data, and also looking at metric and non-metric MDS models to build a foundation for later discussion and applications in later chapters. Part II examines specific MDS models and its applications for education and psychology. This includes spatial analysis methods that can be used in MDS to test clustering effect of items and individual differences MDS model (INDSCAL). Finally, Part III focuses on new applications of MDS analysis in these research fields. These new applications consist of profile analysis, longitudinal analysis, mean-level change, and pattern change. The book concludes with a historical review of MDS development as an analytical method and a look to future directions.
Advanced Marketing Research
Author | : Richard Bagozzi |
Publisher | : John Wiley & Sons |
Total Pages | : 434 |
Release | : 1994-07-19 |
Genre | : Business & Economics |
ISBN | : 1557865493 |
Advanced Marketing Research is a companion volume to Richard Bagozzi's Principles of Marketing Research. It is intended for students on advanced marketing research courses at the graduate and postgraduate levels and on executive programs. Each chapter begins with a historical development of the topical area before moving on to advanced issues and coverage of latest developments. To aid students learning, questions and exercises are included throughout.
Analyzing Spatial Models of Choice and Judgment
Author | : David A. Armstrong |
Publisher | : CRC Press |
Total Pages | : 347 |
Release | : 2020-11-17 |
Genre | : Mathematics |
ISBN | : 1351770497 |
With recent advances in computing power and the widespread availability of preference, perception and choice data, such as public opinion surveys and legislative voting, the empirical estimation of spatial models using scaling and ideal point estimation methods has never been more accessible.The second edition of Analyzing Spatial Models of Choice and Judgment demonstrates how to estimate and interpret spatial models with a variety of methods using the open-source programming language R. Requiring only basic knowledge of R, the book enables social science researchers to apply the methods to their own data. Also suitable for experienced methodologists, it presents the latest methods for modeling the distances between points. The authors explain the basic theory behind empirical spatial models, then illustrate the estimation technique behind implementing each method, exploring the advantages and limitations while providing visualizations to understand the results. This second edition updates and expands the methods and software discussed in the first edition, including new coverage of methods for ordinal data and anchoring vignettes in surveys, as well as an entire chapter dedicated to Bayesian methods. The second edition is made easier to use by the inclusion of an R package, which provides all data and functions used in the book. David A. Armstrong II is Canada Research Chair in Political Methodology and Associate Professor of Political Science at Western University. His research interests include measurement, Democracy and state repressive action. Ryan Bakker is Reader in Comparative Politics at the University of Essex. His research interests include applied Bayesian modeling, measurement, Western European politics, and EU politics. Royce Carroll is Professor in Comparative Politics at the University of Essex. His research focuses on measurement of ideology and the comparative politics of legislatures and political parties. Christopher Hare is Assistant Professor in Political Science at the University of California, Davis. His research focuses on ideology and voting behavior in US politics, political polarization, and measurement. Keith T. Poole is Philip H. Alston Jr. Distinguished Professor of Political Science at the University of Georgia. His research interests include methodology, US political-economic history, economic growth and entrepreneurship. Howard Rosenthal is Professor of Politics at NYU and Roger Williams Straus Professor of Social Sciences, Emeritus, at Princeton. Rosenthal’s research focuses on political economy, American politics and methodology.