Analysis of Multiple Dependent Variables (Pocket Guides to Social Work Research Methods)

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Notă GoodReads:
en Limba Engleză Paperback – 14 Mar 2013
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 annotated examples 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.

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ISBN-13: 9780199773596
ISBN-10: 0199773599
Pagini: 190
Ilustrații: 43 line-cuts
Dimensiuni: 141 x 209 x 11 mm
Greutate: 0.25 kg
Editura: Oxford University Press
Colecția OUP USA
Seria Pocket Guides to Social Work Research Methods

Locul publicării: New York, United States

Notă biografică

Patrick Dattalo, PhD, is Professor of Social Work at Virginia Commonwealth University.