Stevens, James P. <br/><br/>
Applied multivariate statistics for the social sciences / 
by James P. Stevens  
 - 5th 
 - New York:  Routledge,  2009. 
 - xii, 651 
<br/><br/>1. Introduction --<br/>2. Matrix Algebra --<br/>3. Multiple Regression --<br/>4. Two-Group Multivariate Analysis of Variance --<br/>5. K-Group MANOVA: A Priori and Post Hoc Procedures --<br/>6. Assumptions in MANOVA --<br/>7. Discriminant Analysis --<br/>8. Factorial Analysis of Variance --<br/>9. Analysis of Covariance --<br/>10. Stepdown Analysis --<br/>11. Exploratory and Confirmatory Factor Analysis --<br/>12. Canonical Correlation --<br/>13. Repeated Measures Analysis --<br/>14. Categorical Data Analysis: The Log Linear Model --<br/>15. Hierarchical Linear Modeling --<br/>16. Structural Equation Modeling. 
<br/><br/> Suitable for those who use, rather than develop statistical methods, this text focuses on a conceptual understanding of the material rather than on proving results. It stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size by providing guidelines so that the results can be generalized. 
<br/><br/><label>ISBN: </label>9780805859034 
<br/><br/><label>Subjects--Topical Terms: </label><br/>GEN
<br/><br/><label>Dewey Class. No.: </label>519.535  / STE-A