In a way that is refreshingly engaging and readable, Daniel B. Wright and Kamala London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books' webpage via the SAGE homepage. Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested using a range of real research examples conducted by the authors in every chapter.
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Daniel B. Wright is Professor of Educational Assessment, in the Department of Educational Psychology and Higher Education, University of Nevada, Las Vegas. His interests are in methodology and applied cognitive science.
The comprehensive yet concise guide to carrying out regression analyses using the program R.
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