Analysis of Multiple Dependent Variables

Erscheinungsjahr 2013
ISBN: 978-0-19-977359-6
Verlag: Oxford University Press

Buch, Englisch, 190 Seiten, Format (B × H): 140 mm x 210 mm, Gewicht: 243 g

Reihe: Pocket Guides to Social Work Research Methods

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.

Autoren/Hrsg.

Dattalo, Patrick

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Arbeit/Sozialpädagogik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik

Über Autor(innen)

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