You might also like

More about Analysis of Multiple Dependent Variables

• Book details
• Synopsis
• Trending among others

You get 136 loyalty points

Book synopsis

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.

Book details

Book category Books in English Society & social sciences Sociology & anthropology Sociology

• Full title: Analysis of Multiple Dependent Variables
• Author: Patrick Dattalo
• Language: English
• Binding: Paperback
• Number of pages: 190
• EAN: 9780199773596
• ISBN: 0199773599
• ID: 01243466
• Publisher: Oxford University Press Inc
• Weight: 256 g
• Dimensions: 181 × 220 × 10 mm
• Date of publishing: 14. March 2013

Trending among others

---

---

---