<p><i>"...provides an accessible and practical discussion of dual scaling that should be useful to people in many fields."</i><br />—<b><i>Chance</i></b></p><p><i>"This is a useful book for both academic and industry marketing researchers. It contains extensions of correspondence analysis in clear and simple exposition that cannot be found elsewhere."</i><br />—<b><i>Journal of Marketing Research</i></b></p><p><i>"The book is lucidly written, and provides an excellent text for a one-semester course on dual scaling at an advanced undergraduate or graduate level. Indeed, a copy of the book arrived when I was teaching dual scaling in my scaling course last year, and I could not help but immediately borrow several examples of applications from this book."</i><br />—<b><i>Applied Psychological Measurement</i></b></p><p><i>"The persistent reader will be rewarded with insights into data analysis. Infact, (s)he will benefit from the book, even having only a vague understanding of the mathematical details of the technique. The main reason for this is Nishisato's taking the time to explain the problems and the solutions in sufficient detail."</i><br />—<b><i>Canadian Journal of Marketing Research</i></b></p><p><i>"...contains many examples and data sets and these are discussed at length. For teaching purposes this would be useful."</i><br />—<b><i>Psychometrika</i></b></p><p><i>"The author has assembled a great deal of information on the application of dual scaling to categorical data. This book should be valuable to anyone dealing with survey questionnaire data, particularly multiple-choice survey data."</i><br />—<b><i>Journal of Classification</i></b></p>