Daniel Mirman

Growth Curve Analysis and Visualization Using R

• Gebundenes Buch

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.

Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 188
• Erscheinungstermin: 24. Februar 2014
• Englisch
• Abmessung: 241mm x 159mm x 20mm
• Gewicht: 469g
• ISBN-13: 9781466584327
• ISBN-10: 1466584327
• Artikelnr.: 39614517

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.