
The Multivariate Social Scientist
Description
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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.
Reviews / Votes
`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
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Persons
Content
Data Screening
Ordinary Least-Squares Regression
Logistic Regression
Loglinear Analysis
Factor Analysis
Conclusion
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