Lesa Hoffman

Longitudinal Analysis (eBook, ePUB)

Modeling Within-Person Fluctuation and Change

• Format: ePub

Produktbeschreibung

This class-tested introduction emphasizes the relatedness of the models that builds a strong foundation of the basics to better prepare readers for the more advanced models to come. Organized by research design, the text emphasizes modeling decisions unique to longitudinal or repeated measures data. Examples with sample results sections emphasize the steps involved in reporting the model specification and the decision-making and interpretation processes. The website features the book's data sets, syntax and sample output for various programs, and exercises. Ideal for advanced students and researchers in the behavioral and social sciences, prerequisites include familiarity with GLM and SEM.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 654
• Erscheinungstermin: 30. Januar 2015
• Englisch
• ISBN-13: 9781317591085
• Artikelnr.: 42206458

Autorenporträt

Lesa Hoffman is the Scientific Director of the Research Design and Analysis Unit and Associate Professor of Quantitative Methods in the Schiefelbusch Institute for Life Span Studies at the University of Kansas.

Inhaltsangabe

Section 1: Building Blocks for Longitudinal Analysis 1. Introduction to the
Analysis of Longitudinal Data 2. Between-Person Analysis and Interpretation
of Interactions 3. Introduction to Within-Person Analysis and Model
Comparisons Section 2: Modeling the Effects of Time 4. Describing
Within-Person Fluctuation over Time 5. Introduction to Random Effects of
Time and Model Estimation 6. Describing Within-Person Change over Time
Section 3: Modeling the Effects of Predictors 7. Time-Invariant Predictors
in Longitudinal Models 8. Time-Varying Predictors in Models of
Within-Person Fluctuation 9. Time-Varying Predictors in Models of
Within-Person Change Section 4: Advanced Applications 10. Analysis over
Alternative Metrics and Multiple Dimensions of Time 11. Analysis of
Individuals within Groups over Time 12. Analysis of Repeated Measures
Designs Not Involving Time 13. Additional Considerations and Related Models

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Section 1: Building Blocks for Longitudinal Analysis 1. Introduction to the Analysis of Longitudinal Data 2. Between-Person Analysis and Interpretation of Interactions 3. Introduction to Within-Person Analysis and Model Comparisons Section 2: Modeling the Effects of Time 4. Describing Within-Person Fluctuation over Time 5. Introduction to Random Effects of Time and Model Estimation 6. Describing Within-Person Change over Time Section 3: Modeling the Effects of Predictors 7. Time-Invariant Predictors in Longitudinal Models 8. Time-Varying Predictors in Models of Within-Person Fluctuation 9. Time-Varying Predictors in Models of Within-Person Change Section 4: Advanced Applications 10. Analysis over Alternative Metrics and Multiple Dimensions of Time 11. Analysis of Individuals within Groups over Time 12. Analysis of Repeated Measures Designs Not Involving Time 13. Additional Considerations and Related Models

Rezensionen

"This book will fill the void for a complete, accessible text on longitudinal data analysis. ... The writing style is conversational and non-threatening. ... The author walks the readers through the examples in a way that makes them easy to follow. ... To have a single book that covers the complete topic of multilevel modelling related to longitudinal analysis would be exactly what I would need for my multilevel modelling course." - Michael J. Rovine, Penn State University, USA



"I would definitely ... recommend it as required reading in the longitudinal analysis course. ... It addresses in an accessible way, so many of the questions that non-statisticians and researchers new to longitudinal analysis ask or should ask. I have no doubt that this book will make a significant contribution to the field. I have been waiting many years for a book like this!" - Andrea Piccinin, University of Victoria, Canada



"This book fills a gap by being more accessible than just about any other book on the topic. ... [It] provides a thorough introductory treatment that will be accessible to students, while also serving as a good reference text for more experienced users. ... Hoffman shows that these complex models are within the reach of any student or researcher with a basic knowledge of regression." - Kristopher Preacher, Vanderbilt University, USA



"Dr. Hoffman offers a highly informative, comprehensive and accessible book that will be very useful to students and researchers interested in modeling multilevel and longitudinal data. The writing is very clear, incorporating necessary methodological details while using an understandable application approach." - Lisa L. Harlow, University of Rhode Island, USA