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The Multivariate Social Scientist
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The Multivariate Social Scientist
Introductory Statistics Using Generalized Linear Models


© 1999 | 288 pages | SAGE Publications Ltd
Starting from simple hypothesis testing and then moving towards model-building, this valuable 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 appropriately.

Using a unified conceptual framework (based around the Generalized Linear Model) the authors explain the commonalities and relationships between methods that include both the analysis of categorical and continuous data.

 
Introduction
 
Data Screening
 
Ordinary Least-Squares Regression
 
Logistic Regression
 
Loglinear Analysis
 
Factor Analysis
 
Conclusion

`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." 

Geoff. Der
MRC Social and Public Health Sciences Unit, University of Glasgow

I find the book quite good. It describes a series of analytical approaches in a clear way. In principle the book is very suited for self-study by students, as most of the book is easy to follow and explains the analyses step by step.

The main problem however with the book is that it refers to a rather old version of SPSS and therefore is not easy to use in relation to the newer versions of SPSS where generalized linear models is a separate set of models. The book was published more than 15 years ago, so indeed is in need of an update. And I would love to see an updated version of the book.

A second point is that the explanation of the different types of models is rather difficult to understand - I would guess too difficult for most social science students. But understanding the models and the role of the link functions is important as general background. In a next edition, the authors may try to improve these parts.

More generally, I would welcome more instrumental discussion of model selection: how does the student select a specific model and why?

Overall, an updated version would be very useful.

Professor Peter Van den Besselaar
Department of Organization Science & Network Institute, VU University Amsterdam
December 8, 2015

Interesting but the approach was a bit challenging.

Mr Pedro Valero-Mora
Metodología de las Ciencias del Comportamiento, Universitat de Valencia
September 16, 2012

Very fine book, we have chosen it as the textbook for the course.

Dr Jesper Schneider
Social Science , Royal School of Library and Information Science
June 3, 2010

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