Measurement Theory in Action: Case Studies and Exercises, Second Edition
B**S
A good conceptual overview
If you're looking for a conceptual overview of psychometric practices, this might be the book for you. If you're looking for a book that will put you on the road to conducting psychometric research of your own, this book falls a bit short.The scope of this book is quite broad indeed and that's where it really shines. It walks the reader through many of the decisions and practices necessary to conduct any kind of psychometric research. It occasionally touches on psychological issues, but its primary focus is specifically on the measurement side of things--that is to say, the mathematical/statistical side of things. And it does an excellent job of explaining why certain statistical techniques are used in varying circumstances.However, it does not actually explain the statistics, and that's where it fails a bit. The book's description says it is "ideal as a text for any psychometrics, testing and measurement, or multivariate statistics course taught in psychology, education, marketing and management, and professional researchers in need of a quick refresher on applying measurement theory will also find this an invaluable reference." The problem, there, is that though it references topics related to, for instance, multivariate statistics, it does little to tell the reader how to actually use the techniques. Though the book does not shy away from including the occasional equation or statistical output table, it simply lacks the detail necessary for the reader to actually come away from the book with much practical knowledge.To use an example, the chapters on exploratory and confirmatory factor analysis do a great job at explaining the conceptual differences between the two practices and when one would choose to use one or the other. However, the reader looking for insight into how to actually PERFORM a factor analysis will not find that information anywhere in this book. Yes, the book does contain an exercise that walks the reader through the steps using SPSS, but if one's own research deviates even slightly from the hypothetical research contained in the exercise (as it undoubtedly will), one will be helplessly stuck when it comes to understanding the sometimes subtle choices one must make in statistical modeling. Further, the usefulness of that exercise depends on the reader's use of SPSS, a not-inexpensive software platform. A strong argument could be made that if the exercises were presented either in purely mathematical terms or using a platform like R, the reader would come away with a deeper understanding of the statistics rather than the more superficial "point and click" level of understanding offered by the book's use of SPSS exercises following specific sequences of steps.However, while the book may fail as a practical guide, its numerous case studies excel as a conceptual guide. The reader may not come away with any understanding of exactly which mathematical technique to use or how to use it, but will come away with a relatively deep appreciation for the basic issues and questions involved in developing and validating a psychometric instrument.If this is to be your first introduction to psychometrics, this book will provide a much gentler introduction than a purely mathematical book will. However, if you're already well versed in the basic concepts of psychometrics and statistical theory, you'll want something with a bit more mathematical detail. That's not necessarily a flaw or a virtue in this book--it's just a question of what your own particular needs might be. However, since the book is called "Measurement Theory IN ACTION" (emphasis mine) and advertises itself as a suitable text for a course in either psychometrics or multivariate statistics, I expected a bit more of the practical (one might say actionable) statistical theory.
W**S
Easy to read, great exercises for application of test theory.
If you have a class that requires this book, then this is the book for you. Easy to read and well explained statistical/scientific concepts, with exercises for using them for test development.
D**B
Four Stars
Good reliability and validity approach to instrument measurement. Clarifies the statistical application of instrument use.
S**N
meh
this book was okay. i liked the case studies but they were a little redundant
T**A
Five Stars
great product, great shipping
B**N
Concise, but helpful
This text really helps you work through many of the issues. It's helpful to have a more thoroughly conceptual book with it, but if you want to work through many of the debates/areas of judgement then this book will help tremendously, but you really have to force yourself to consider the questions and cases.
P**W
Five Stars
Great, concise book
J**E
Five Stars
exactly what I wanted, thank you!