The essence of multivariate thinking : basic themes and methods

By Lisa L. Harlow. 2014

157 citations recorded by the source corpus.

1. Introduction and Multivariate Themes 2. Background Themes 3. Multiple Regression 4. Analysis of Covariance 5. Multivariate Group Methods with Categorical Variables 6. Discriminant Function Analysis 7. Logistic Regression 8. Multi-level Modeling 9. Principal Components and Factor Analysis 10. Structural Equation Modeling 11. Path Analysis 12. Confirmatory Factor Analysis 13. Latent Variable Modeling 14. Integration of Multivariate Methods Appendix A Codebook for Data Used in Example Appendix B Matrices and Multivariate Methods

Subfields: Computer Networks and Communications, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/81d6a180453cc1ef88f90714744279289635e641