Growth curve analysis and visualization using R

by Mirman, Daniel

Type Book

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Title Statements

Full title :Growth curve analysis and visualization using R / Daniel Mirman.

Summary

"Accessible to quantitative psychology researchers, this book introduces growth curve analysis (GCA) methods for applications in the behavioral sciences. It introduces the challenges involved with this type of data, discusses the basics of GCA, and explains how the methods can be used to analyze the data. The book takes a very practical approach, emphasizing visualization and keeping mathematical details to a minimum. It includes many real data examples from cognitive science and social psychology and integrates R code for the implementation of the methods". "This book is intended to be a practical, easy-to-understand guide to carrying out growth curve analysis (multilevel regression) of time course or longitudinal data in the behavioral sciences, particularly cognitive science, cognitive neu- roscience, and psychology. Multilevel regression is becoming a more and more prominent statistical tool in the behavioral sciences and it is especially useful for time course data, so many researchers know they should use it, but they do not know how to use it. In addition, analysis of individual di erences (de- velopmental, neuropsychological, etc.) is an important subject of behavioral science research but many researchers don't know how to implement analy- sis methods that would help them quantify individual di erences. Multilevel regression provides a statistical framework for quantifying and analyzing indi- vidual di erences in the context of a model of the overall group e ects. There are several excellent, detailed textbooks on multilevel regression, but I believe that many behavioral scientists have neither the time nor the inclination to work through those texts. If you are one of these scientists { if you have time course data and want to use growth curve analysis, but don't know how { then this book is for you. I have tried to avoid statistical theory and techni- cal jargon in favor of focusing on the concrete issue.

Edition Statements

Publication Date:2014.

Publication Statements

Publisher(s):CRC Press
Place of Publication:Boca Raton
Language:eng
Publication Date:2014.

The Physical Object

Description:XVIII, 170 Seiten : : Illustrationen, Diagramme.

Edition Identifiers

ISBN:9781466584327, 1466584327
oclc:ocn927169591
LC Classification:QH324.2
Dewey Decimal:570.15195

Subjects

Analyse de régression biometrics Biométrie Biometry MATHEMATICS -- Probability et Statistics Psychometrics Psychométrie R (Computer program language) R (Langage de programmation) regression analysis Regressionsanalyse