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› Besuchen Sie die Seite von Leona S. Aiken auf Amazon
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Produktbeschreibungen
Pressestimmen
"The book would serve very well as a reference for applied researchers and methodologiests... In particular, this would be an excellent reference for anyone who encounters a multivariable prediction problem and has reason to believe that either a nonlinear model or a model including a variable product term would be appropriate." Contemporary Psychology
Kurzbeschreibung
This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression models. Including the latest research in the area, such as Fuller's work on the corrected//constrained estimator, the book is appropriate for anyone who uses multiple regression to estimate models, or for those enrolled in courses on multivariate statistics.
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Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
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Kundenrezensionen
Die hilfreichsten Kundenrezensionen
2 von 2 Kunden fanden die folgende Rezension hilfreich
Format:Taschenbuch
If you want to get the most out of 2 continuous predictors in your data, then this book will be very useful. Excellent description of how to graph 2-way interactions in multiple regression equations, as well as theoretical recommendations for adding/removing higher order terms.
1 von 1 Kunden fanden die folgende Rezension hilfreich
Format:Taschenbuch
A colleague recommanded this book, when I was struggling with multip-effect interaction. The book proved to be an apt and excellent choice for this kind of problem. There are several chapters detailing the interactions, unlike many other regression textbooks, which tend to skim over this subject. If the authors could be more succint in their writing, this book would have definitely deserved a 5-star.
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9 Rezensionen
8 von 8 Kunden fanden die folgende Rezension hilfreich
Invaluable and accessible
2. Oktober 2002
Format:Taschenbuch
Back when the book was first published, I was completing doctoral research. Aiken & West provided the explanations and instructions that enabled me to complete my dissertation. Nowhere else have I seen the information they provide; seldom have I seen statistical treatments as clearly and easily explained. Like many in the social sciences, math was not my greatest intellectual ability. This book made computing and understanding regression interactions a relative breeze. One reviewer bemoaned the lack of information on interactions among categorical variables. I suppose he didn't read the preface that specifically explains the reason for the absence: such information is widely available in any good statistical text. What Aiken & West provide can't be found elsewhere in any real depth. I am ordering another copy of the book because I'm tired of loaning out my copy to colleagues, especially one who has now begun to copy whole chapters. Yes, it's that useful.
6 von 6 Kunden fanden die folgende Rezension hilfreich
one-step guide to interaction effect
4. April 2000
Format:Taschenbuch
A colleague recommanded this book, when I was struggling with multip-effect interaction. The book proved to be an apt and excellent choice for this kind of problem. There are several chapters detailing the interactions, unlike many other regression textbooks, which tend to skim over this subject. If the authors could be more succint in their writing, this book would have definitely deserved a 5-star.
6 von 6 Kunden fanden die folgende Rezension hilfreich
revolutionary
3. Juli 2003
Format:Taschenbuch
This book has revolutionized the way psychologists think about interactions. It provides step-by-step instructions on how to probe the moderating effects after you find a significant interaction in a multiple regression.
The basic idea about interaction is that the relationship between two variables were different according to a third variable. For example, some risk factors (such as poor family income) may affect children's academic achievement in a negative way. However, if the parents provide enough support on their children's study, then it's possible that the risk factors will no longer influence their children test scores. Therefore, with low support, risk factors are very effective, but with high support, risk factors have not effects. This book teaches you how to probe this relationship in a systematic way, it covers 2-way, 3-way interactions and also quardratic relationships.
If you fully understand this book, the techniques you have will be enough for a masters thesis in your area.
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