Longitudinal Data Analysis for the Behavioral Sciences Using R
By: Jeffrey D. Long (author)Hardback
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This book is a practical guide for the analysis of longitudinal behavioural data. Longitudinal data consist of repeated measures collected on the same subjects over time. Such data is collected by researchers in psychology, education, organization studies, public policy, and related fields. A variety of substantive research questions are addressed with longitudinal data, including how student achievement changes over time, how psychopathology develops, and how intra-group conflict evolves.
Jeffrey D. Long, PhD, is Professor of Psychiatry in the Carver College of Medicine at the University of Iowa. He is also the Head Statistician for Neurobiological Predictors of Huntington's Disease (PREDICT-HD), a longitudinal NIH-funded study of early detection of Huntington's Disease. His undergraduate degree is from the University of California at Los Angeles, and his doctoral degree is from the University of Southern California in the area of quantitative psychology.
About the AuthorPrefaceChapter 1. IntroductionChapter 2. Brief Introduction to RChapter 3. Data Structures and Longitudinal AnalysisChapter 4. Graphing Longitudinal DataChapter 5. Introduction to Linear Mixed Effects RegressionChapter 6. Overview of Maximum Likelihood EstimationChapter 7. Multimodel Inference and Akaike's Information CriterionChapter 8. Likelihood Ratio TestChapter 9. Selecting Time PredictorsChapter 10. Selecting Random EffectsChapter 11. Extending Linear Mixed Effects RegressionChapter 12. Modeling Nonlinear ChangeChapter 13. Advanced TopicsAppendix: Soft Introduction to Matrix AlgebraReferencesAuthor IndexSubject Index
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- ID: 9781412982689
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