The Multivariate Social Scientist: Introductory Statistics Using Generalized Linear Models
Autor Graeme D Hutcheson, Nick Sofroniouen Limba Engleză Paperback – 23 mai 1999
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Specificații
ISBN-13: 9780761952015
ISBN-10: 0761952012
Pagini: 288
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.44 kg
Ediția:New.
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
ISBN-10: 0761952012
Pagini: 288
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.44 kg
Ediția:New.
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
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Recenzii
`I learnt a lot from this book, which is very clear and carefully explains a wide range of multivariate techniques, basing them all on a consistent explanatory framework. It will be invaluable for social scientists wanting to progress beyond an introductory level of statistics' - Nigel Gilbert, University of Surrey
`A good introduction to ordinary regression, logistic regression, and loglinear models for the analysis of categorical frequency data....A nice feature of the book and one that social scientists will find very useful is the detailed listing of computer codes for the implementation of these models within the SPSS and GLIM software' - Zentralblatt MATH
"The book combines a sound and clear exposition of GLMs with a wealth of practical tips. Even for those already familiar with most of the techniques covered it would be an excellent refresher course."
`A good introduction to ordinary regression, logistic regression, and loglinear models for the analysis of categorical frequency data....A nice feature of the book and one that social scientists will find very useful is the detailed listing of computer codes for the implementation of these models within the SPSS and GLIM software' - Zentralblatt MATH
"The book combines a sound and clear exposition of GLMs with a wealth of practical tips. Even for those already familiar with most of the techniques covered it would be an excellent refresher course."
Cuprins
Introduction
Data Screening
Ordinary Least-Squares Regression
Logistic Regression
Loglinear Analysis
Factor Analysis
Conclusion
Data Screening
Ordinary Least-Squares Regression
Logistic Regression
Loglinear Analysis
Factor Analysis
Conclusion
Notă biografică
Descriere
Starting from simple hypothesis testing and then moving towards model-building, this book takes readers through the basics of multivariate analysis including: which tests to use on which data; how to run analyses in SPSS for Windows and GLIM4; how to interpret results; and how to report and present the reports.