Analysis of multiple dependent variables
著者
書誌事項
Analysis of multiple dependent variables
（Pocket guides to social work research methods）
Oxford University Press, c2013
- : pbk.
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注記
Includes bibliographical references (p. 157-169) and index
内容説明・目次
内容説明
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.
目次
- 1. Basic Concepts and Assumptions
- 2. Multivariate Analysis of Variance
- 3. Multivariate Analysis of Covariance
- 4. Multivariate Multiple Regression
- 5. Structural Equation Modeling
- 6. Choosing among Procedures for the Analysis of Multiple Dependent Variables
- References
- Index
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