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Author: John McIver Publisher: SAGE ISBN: 9780803917361 Category : Mathematics Languages : en Pages : 100
Book Description
This series of methodological works provides introductory explanations and demonstrations of various data analysis techniques applicable to the social sciences. Designed for readers with a limited background in statistics or mathematics, this series aims to make the assumptions and practices of quantitative analysis more readily accessible.
Author: John McIver Publisher: SAGE ISBN: 9780803917361 Category : Mathematics Languages : en Pages : 100
Book Description
This series of methodological works provides introductory explanations and demonstrations of various data analysis techniques applicable to the social sciences. Designed for readers with a limited background in statistics or mathematics, this series aims to make the assumptions and practices of quantitative analysis more readily accessible.
Author: Ingwer Borg Publisher: Springer Science & Business Media ISBN: 1475727119 Category : Mathematics Languages : en Pages : 469
Book Description
Multidimensional scaling (MDS) is a technique for the analysis of similarity or dissimilarity data on a set of objects. Such data may be intercorrelations of test items, ratings of similarity on political candidates, or trade indices for a set of countries. MDS attempts to model such data as distances among points in a geometric space. The main reason for doing this is that one wants a graphical display of the structure of the data, one that is much easier to understand than an array of numbers and, moreover, one that displays the essential information in the data, smoothing out noise. There are numerous varieties of MDS. Some facets for distinguishing among them are the particular type of geometry into which one wants to map the data, the mapping function, the algorithms used to find an optimal data representation, the treatment of statistical error in the models, or the possibility to represent not just one but several similarity matrices at the same time. Other facets relate to the different purposes for which MDS has been used, to various ways of looking at or "interpreting" an MDS representation, or to differences in the data required for the particular models. In this book, we give a fairly comprehensive presentation of MDS. For the reader with applied interests only, the first six chapters of Part I should be sufficient. They explain the basic notions of ordinary MDS, with an emphasis on how MDS can be helpful in answering substantive questions.
Author: Trevor F. Cox Publisher: CRC Press ISBN: 9781420036121 Category : Mathematics Languages : en Pages : 332
Book Description
Multidimensional scaling covers a variety of statistical techniques in the area of multivariate data analysis. Geared toward dimensional reduction and graphical representation of data, it arose within the field of the behavioral sciences, but now holds techniques widely used in many disciplines. Multidimensional Scaling, Second Edition extends the popular first edition and brings it up to date. It concisely but comprehensively covers the area, summarizing the mathematical ideas behind the various techniques and illustrating the techniques with real-life examples. A computer disk containing programs and data sets accompanies the book.
Author: Joseph B. Kruskal Publisher: SAGE ISBN: 9780803909403 Category : Multidimensional scaling Languages : en Pages : 100
Book Description
Basic concepts of multidimensional scaling; Interpretation of the configuration; Dimensionality; Three way multidimensional scaling; Preparing the input for multidimensional scaling.
Author: Gerald J. Miller Publisher: CRC Press ISBN: 9780824702137 Category : Political Science Languages : en Pages : 680
Book Description
This comprehensive handbook covers a wide variety of quantitative methods used for research in public administration, public policy, and nonprofit management, including theory-building and testing, increasing the readers awareness and command of analytical tools critical to the resolution of complex problems. Providing bibliographic citations and over 370 tables, equations, and drawings, the book compares the function of quantitative techniques in past and present public administration literature and practices, furnishes information for visualizing, planning, and implementing research projects, and explores potential applications of quantitative public administration.
Author: Rolf G. Kuehni Publisher: John Wiley & Sons ISBN: 0471461466 Category : Technology & Engineering Languages : en Pages : 440
Book Description
It has been postulated that humans can differentiate between millions of gradations in color. Not surprisingly, no completely adequate, detailed catalog of colors has yet been devised, however the quest to understand, record, and depict color is as old as the quest to understand the fundamentals of the physical world and the nature of human consciousness. Rolf Kuehni’s Color Space and Its Divisions: Color Order from Antiquity to the Present represents an ambitious and unprecedented history of man’s inquiry into color order, focusing on the practical applications of the most contemporary developments in the field. Kuehni devotes much of his study to geometric, three-dimensional arrangements of color experiences, a type of system developed only in the mid-nineteenth century. Color spaces are of particular interest for color quality-control purposes in the manufacturing and graphics industries. The author analyzes three major color order systems in detail: Munsell, OSA-UCS, and NCS. He presents historical and current information on color space developments in color vision, psychology, psychophysics, and color technology. Chapter topics include: A historical account of color order systems Fundamentals of psychophysics and the relationship between stimuli and experience Results of perceptual scaling of colors according to attributes History of the development of mathematical color space and difference formulas Analysis of the agreements and discrepancies in psychophysical data describing color differences An experimental plan for the reliable, replicated perceptual data necessary to make progress in the field Experts in academia and industry, neuroscientists, designers, art historians, and anyone interested in the nature of color will find Color Space and Its Divisions to be the authoritative reference in its field.
Author: William G. Jacoby Publisher: SAGE ISBN: 9780803941786 Category : Mathematics Languages : en Pages : 100
Book Description
For many readers, data theory is probably unfamiliar. Data isn't usually the subject matter of theory in and of itself. However, in this volume, William Jacoby introduces a theory of data idea. It examines how real world observations are transformed into something to be analyzed that is, data. Jacoby explores some of the basic ideas of data theory, and considers their implications for research strategies in the social sciences. "Like others in the series, it is reassuringly slim. It is intended for a general social science readership and is a worthwhile read even for experienced data analysts. since it draws attention not only to often overlooked assumptions, but also to often ignored analysis possibilities." --Telephone Surveys "On the whole, this book contains a lot of useful information." --Journal of Classification
Author: Shizuhiko Nishisato Publisher: CRC Press ISBN: 9781584886129 Category : Mathematics Languages : en Pages : 336
Book Description
Quantification of categorical, or non-numerical, data is a problem that scientists face across a wide range of disciplines. Exploring data analysis in various areas of research, such as the social sciences and biology, Multidimensional Nonlinear Descriptive Analysis presents methods for analyzing categorical data that are not necessarily sampled randomly from a normal population and often involve nonlinear relations. This reference not only provides an overview of multidimensional nonlinear descriptive analysis (MUNDA) of discrete data, it also offers new results in a variety of fields. The first part of the book covers conceptual and technical preliminaries needed to understand the data analysis in subsequent chapters. The next two parts contain applications of MUNDA to diverse data types, with each chapter devoted to one type of categorical data, a brief historical comment, and basic skills peculiar to the data types. The final part examines several problems and then concludes with suggestions for future progress. Covering both the early and later years of MUNDA research in the social sciences, psychology, ecology, biology, and statistics, this book provides a framework for potential developments in even more areas of study.
Author: John McIver
Author: John McIver
Author: Ingwer Borg
Author: Trevor F. Cox
Author: Joseph B. Kruskal
Author: Gordon G. Bechtel
Author: Gerald J. Miller
Author: Raymond L. Gorden
Author: Rolf G. Kuehni
Author: William G. Jacoby
Author: Shizuhiko Nishisato