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Produktbeschreibungen
Kurzbeschreibung
For graduate-level courses in Marketing Research, Research Design and Data Analysis . Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis greatly reduces the amount of statistical notation and terminology used while focusing instead on the fundamental concepts that affect the use of specific techniques.
Synopsis
For graduate-level courses in Marketing Research, Research Design and Data Analysis . Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis greatly reduces the amount of statistical notation and terminology used while focusing instead on the fundamental concepts that affect the use of specific techniques.
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3 von 3 Kunden fanden die folgende Rezension hilfreich
Format:Gebundene Ausgabe
The Hair et al textbook has been one of my favorite recommendations to graduate students who are wrestling with their data analysis. I also use this book in a methodology course I give over here at Vrije University Amsterdam. The following points, in my opinion make this book the best choice for this purpose: 1. This book, contrary to many more statistically oriented texts, discusses analysis methods that are really used. Not the techniques that are necessarily most elegant, but the techniques that are most practical 2. The approach taken in this textbook is not formula-oriented. The authors simply discuss the prerequisites of a certain techniques and the interpretation of the outcomes. 3. The authors make a nice attempt to help the reader in choosing an appropriate technique. Although the treatment of the technique sometimes is too superficial, this is not a problem. A textbook cannot treat all details and good references are given in each chapter.
One the negative side, a number of caveats has to be mentioned however: 1. This most recent edition, unfortunately is worse than previous one. I tend to recommend older editions. The authors apparently have been trying to include a lot of material that users (i.e. instructors) of the book thought was missing. The structure of the book suffers from this added material. Another problem is that really high-level material gets mixed up with elementary statistics. A textbook simply cannot be everything for everyone. 2. The book is too big. Too much material has been added to this text. Furthermore, often too much time is spend discussing the examples. E.g., the illustration of discriminant and logit analysis alone takes over 40 pages.
Overall my rating of this book is not negative. If this edition of the book had been my first encounter with this text, I probably had been more enthousiastic. Now I tend to compare it with earlier editions, and must conclude the book has degraded. A next edition, in which a good editor goes through the text to enhance structure and get rid of superfluous material might easily solve the problems mentioned.
2 von 2 Kunden fanden die folgende Rezension hilfreich
Format:Gebundene Ausgabe
I've used this book (various editions) since graduate school -- more years ago than I care to admit. It is written in English rather than in "statistics" and gives a terrific conceptual overview of the research techniques. I keep it as a reference and use it regularly. If you want to understand multivariate stats without having to wade through a lot of symbols, this book is great. I also find it very useful when I'm trying to come up with a layman's explanation for management.
1 von 1 Kunden fanden die folgende Rezension hilfreich
Format:Gebundene Ausgabe
Revisando este libro, me encontrado con detalles muy interesantes sobre técnicas gerenciales que son de mucha aplicación para los gerentes hoy día y lo serán por mucho tiempo, dado el complejo mundo en que se desenvuelven las empresas hoy día y la necesidad imperante de tomar decisiopnes cada vez más certeras. Creo que todo profesional del área de mercadeo y finanzas deberá conocer de esta obra.
Hector Medina
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