The Multivariate Social Scientist: Introductory Statistics Using Generalized Linear Models
โ Scribed by Graeme D Hutcheson, Nick Sofroniou
- Publisher
- SAGE Publications Ltd
- Year
- 1999
- Tongue
- English
- Leaves
- 289
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Subjects
Statistics;Applied;Mathematics;Science & Math;Methodology;Social Sciences;Politics & Social Sciences;Research;Social Sciences;Politics & Social Sciences;Social Sciences;Anthropology;Archaeology;Criminology;Gay & Lesbian Studies;Gender Studies;Geography;Military Sciences;Political Science;Psychology;Sociology;New, Used & Rental Textbooks;Specialty Boutique
๐ SIMILAR VOLUMES
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<P><STRONG>Multivariate Generalized Linear Mixed Models Using R</STRONG> presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex research questions. The book applies the principles of modeling to longitudinal data f
This book is concerned with the use of generalized linear models for univariate and multivariate regression analysis. Its emphasis is to provide a detailed introductory survey of the subject based on the analysis of real data drawn from a variety of subjects including the biological sciences, econom