Daniel Mirman

Growth Curve Analysis and Visualization Using R (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book provides a practical, easy-to-understand guide to carrying out multilevel regression/growth curve analysis (GCA) of time course or longitudinal data in the behavioral sciences, particularly cognitive science, cognitive neuroscience, and psychology. With a minimum of statistical theory and technical jargon, the author focuses on the concrete issue of applying GCA to behavioral science data and individual differences. Throughout the book, R code illustrates how to implement the analyses and generate the graphs. The example datasets, code, and more are available on the author's website.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 192
• Erscheinungstermin: 7. September 2017
• Englisch
• ISBN-13: 9781315362700
• Artikelnr.: 49264175

Autorenporträt

Mirman, Daniel

Inhaltsangabe

Time Course Data. Conceptual Overview of Growth Curve Analysis. When Change
over Time Is Not Linear. Structuring Random Effects. Categorical
Predictors. Binary Outcomes: Logistic GCA. Individual Differences. Complete
Examples. References. Index.