Multivariance data analysis: a global perspective. /
Joseph F. Hair.
- 7th ed.
- Upper Saddle River: Pearson, 2010.
- xxviii,800p.: ill.; 24cm.
Includes index.
Contents:Introduction: Methods and model building -- Understanding and preparing for multivariate analysis: Cleaning and transforming data -- Factor -- Analysis using dependence techniques:Simple and multiple regression -- Canonical correlation -- Cojoint analysis -- Multiple discriminant analysis and logistics regression -- Anova and manova -- Analysis using interdependence techniques:Grouping data with cluster analysis -- MDS and correspondence analysis -- Structural equations modeling:SEM:An introduction -- Applications of SEM.