Analysis of Multiple Dependent Variables Paperback / softback
by Patrick (Professor of Social Work, Professor of Social Work, Virginia Commonwealth Universi Dattalo
Part of the Pocket Guides to Social Work Research Methods series
Multivariate procedures allow social workers and other human services researchers to analyze complex, multidimensional social problems and interventions in ways that minimize oversimplification.
This pocket guide provides a concise, practical, and economical introduction to four procedures for the analysis of multiple dependent variables: multivariate analysis of variance (MANOVA), multivariate analysis of covariance (MANCOVA), multivariate multiple regression (MMR),and structural equation modeling (SEM).
Each procedure will be presented in a way that allows readers to compare and contrast them in terms of (1) appropriate research context; (2) required statistical assumptions, including levels of measurement of variables to be modeled; (3) analytical steps; (4) sample size; and (5) strengths and weaknesses.
This invaluable guide facilitates course extensibility in scope and depth by allowing instructors to supplement course content with rigorous statistical procedures.
Detailed annotatedexamples using Stata, SPSS (PASW), SAS, and Amos, together with additional resources, discussion of key terms, and a companion website, make this an unintimidating guide for producers and consumers of social work research knowledge.
- Format: Paperback / softback
- Pages: 190 pages, 43 line-cuts
- Publisher: Oxford University Press Inc
- Publication Date: 14/03/2013
- Category: Social research & statistics
- ISBN: 9780199773596