A PRIMER OF MULTIVARIATE STATISTICS

This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques, such as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one’s interpretations of the emergent variables that are produced by multivariate analysis.

626 pàg

Peso: 43 mb

Idioma:

Edición: 3^ra

Autor:
Richard J. Harris