Analysis of Multiple Dependent Variables by Patrick Dattalo
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.-
Using Complexity Theory for Research and Program Evaluation
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Needs Assessment
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Narrative Inquiry
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Systematic Reviews and Meta-Analysis
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Multilevel Thinking
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Multiple Regression with Discrete Dependent Variables
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Clinical Data-Mining
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Research with Diverse Groups
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Strategies to Approximate Random Sampling and Assignment
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Grounded Theory
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Developing Cross-Cultural Measurement in Social Work Research and Evaluation
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Practice Research in the Human Services
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Developing Cross Cultural Measurement
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Conducting Substance Use Research
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Key Concepts in Measurement
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A Social Justice Approach to Survey Design and Analysis
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Data Analysis with Small Samples and Non-Normal Data
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Randomized Controlled Trials
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Qualitative Methods for Practice Research
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Preparing Research Articles
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Participatory Action Research
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Determining Sample Size
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Conducting Research in Juvenile and Criminal Justice Settings
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Systematic Synthesis of Qualitative Research
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Structural Equation Modeling
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Content Analysis
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Finding and Evaluating Evidence
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Intervention Research
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Secondary Data Analysis
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Mixed Methods Research
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Policy Creation and Evaluation
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Quasi-Experimental Research Designs
Patrick Dattalo, PhD, is Professor of Social Work at Virginia Commonwealth University.
| SKU | Unavailable |
| ISBN 13 | 9780199773596 |
| ISBN 10 | 0199773599 |
| Title | Analysis of Multiple Dependent Variables |
| Author | Patrick Dattalo |
| Series | Pocket Guides To Social Work Research Methods |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Oxford University Press Inc |
| Year published | 2013-03-14 |
| Number of pages | 190 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |