The multivariate social scientists : introductory statistics using generalized linear models

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. The Multivariate Social Scientist Is The First Accessible Introduction To Multivariate Analysis And Techniques For Students, Researchers And Social Scientists Who Need To Know How To Use Multivariate Methods. Graeme D. Hutcheson And Nick Sofroniou. Includes Bibliographical References (p. 267-271) And Index. Cover 1 Table of Contents 6 1 - Introduction 14 2 - Data Screening 28 3 - Ordinary Least-Squares Regression 68 4 - Logistic Regression 126 5 - Loglinear Analysis 176 6 - Factor Analysis 230 7 - Conclusion 266 References 280 Index 285