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Growth curve analysis and visualizat...

Mirman, Daniel.

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Growth curve analysis and visualization using R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Growth curve analysis and visualization using R // Daniel Mirman.
Author:	Mirman, Daniel.
Published:	Boca Raton :CRC Press/Taylor & Francis Group, : 2014.,
Description:	xviii, 170 p. :ill. ;25 cm.
Subject:	R (Computer program language). -
ISBN:	9781466584327

Growth curve analysis and visualization using R /
Mirman, Daniel.

Growth curve analysis and visualization using R /Daniel Mirman. - Boca Raton :CRC Press/Taylor & Francis Group,2014. - xviii, 170 p. :ill. ;25 cm. - Chapman & Hall/CRC the R series..

Includes bibliographical references (pages165-168) and index.

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.

ISBN: 9781466584327GBP49.99

LCCN: 2013048809Subjects--Topical Terms:

740890
R (Computer program language).

LC Class. No.: QH324.2 / .M57 2014

Dewey Class. No.: 570.1/5195

Growth curve analysis and visualization using R /
LDR:02718cam a2200217 a 4500 001 1979255
008 150513s2014 flua b 001 0 eng
010 $a 2013048809
020 $a 9781466584327 $q (hbk.) : $c GBP49.99
020 $a 1466584327 $q (hbk.)
020 $a 9781466584334 $q (ebk.)
020 $a 1466584335 $q (ebk.)
040 $a DLC $b eng
050 0 0 $a QH324.2 $b .M57 2014
082 0 0 $a 570.1/5195 $2 23
100 1 $a Mirman, Daniel. $3 2121424
245 1 0 $a Growth curve analysis and visualization using R / $c Daniel Mirman.
260 # $a Boca Raton : $b CRC Press/Taylor & Francis Group, $c 2014.
300 $a xviii, 170 p. : $b ill. ; $c 25 cm.
490 1 0 $a Chapman & Hall/CRC the R series.
504 $a Includes bibliographical references (pages165-168) and index.
520 # $a 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.
520 # $a 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 of applying growth curve analysis to behavioral science data and individual di erences.
650 # 0 $a R (Computer program language). $3 740890
650 # 0 $a Psychometrics. $3 520603
650 # 0 $a Biometry. $3 531975
650 # 0 $a Regression analysis. $3 529831