ENGLISH

Analysis of Multiple Dependent Variables

By Patrick Dattalo

Book information

Publisher
Oxford University Press
Year
2013
ISBN
0199773599, 9780199773596
Language
english
Format
PDF
Filesize
1 MB (1144201 bytes)
Series
Pocket Guides to Social Work Research Methods
Edition
1
Pages
190\191
Scanned
yes
Time added
2015-07-18 21:24:24
Социологические дисциплины;Методология социологиче

Description

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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