Growth Curve Analysis and Visualization Using R (Chapman & Hall/CRC The R Series)

4,6 valoración promedio
( 5 valoraciones por Goodreads )
 
9781466584327: Growth Curve Analysis and Visualization Using R (Chapman & Hall/CRC The R Series)

Learn How to Use Growth Curve Analysis with Your Time Course Data

An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data. It also provides a way to quantify and analyze individual differences, such as developmental and neuropsychological, in the context of a model of the overall group effects. To harness the practical aspects of this useful tool, behavioral science researchers need a concise, accessible resource that explains how to implement these analysis methods.

Growth Curve Analysis and Visualization Using R 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.

The book begins with discussing problems encountered when analyzing time course data, how to visualize time course data using the ggplot2 package, and how to format data for GCA and plotting. It then presents a conceptual overview of GCA and the core analysis syntax using the lme4 package and demonstrates how to plot model fits. The book describes how to deal with change over time that is not linear, how to structure random effects, how GCA and regression use categorical predictors, and how to conduct multiple simultaneous comparisons among different levels of a factor. It also compares the advantages and disadvantages of approaches to implementing logistic and quasi-logistic GCA and discusses how to use GCA to analyze individual differences as both fixed and random effects. The final chapter presents the code for all of the key examples along with samples demonstrating how to report GCA results.

Throughout the book, R code illustrates how to implement the analyses and generate the graphs. Each chapter ends with exercises to test your understanding. The example datasets, code for solutions to the exercises, and supplemental code and examples are available on the author’s website.

"Sinopsis" puede pertenecer a otra edición de este libro.

Review:

"... an up-to-date, practical introduction to visualizing and modeling time course and multilevel data. It is particularly well suited to applied researchers in the fields of cognitive science, neuroscience, and linguistics. Virtually no familiarity with R is required (although it helps). ... Detailed code examples are given using lme4 for linear and logistic growth curve models and ggplot2 for graphing. ... The writing is clear and easy to follow, without jargon ..."
―Joshua F. Wiley, Journal of Statistical Software, June 2014

"Sobre este título" puede pertenecer a otra edición de este libro.

Comprar nuevo Ver libro

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America

Destinos, gastos y plazos de envío

Añadir al carrito

Los mejores resultados en AbeBooks

1.

Daniel Mirman
Editorial: Taylor Francis Inc, United States (2014)
ISBN 10: 1466584327 ISBN 13: 9781466584327
Nuevos Tapa dura Cantidad: 1
Librería
The Book Depository
(London, Reino Unido)
Valoración
[?]

Descripción Taylor Francis Inc, United States, 2014. Hardback. Estado de conservación: New. Language: English . Brand New Book. Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data. It also provides a way to quantify and analyze individual differences, such as developmental and neuropsychological, in the context of a model of the overall group effects. To harness the practical aspects of this useful tool, behavioral science researchers need a concise, accessible resource that explains how to implement these analysis methods. Growth Curve Analysis and Visualization Using R 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. The book begins with discussing problems encountered when analyzing time course data, how to visualize time course data using the ggplot2 package, and how to format data for GCA and plotting. It then presents a conceptual overview of GCA and the core analysis syntax using the lme4 package and demonstrates how to plot model fits. The book describes how to deal with change over time that is not linear, how to structure random effects, how GCA and regression use categorical predictors, and how to conduct multiple simultaneous comparisons among different levels of a factor. It also compares the advantages and disadvantages of approaches to implementing logistic and quasi-logistic GCA and discusses how to use GCA to analyze individual differences as both fixed and random effects. The final chapter presents the code for all of the key examples along with samples demonstrating how to report GCA results. Throughout the book, R code illustrates how to implement the analyses and generate the graphs. Each chapter ends with exercises to test your understanding. The example datasets, code for solutions to the exercises, and supplemental code and examples are available on the author s website. Nº de ref. de la librería AAZ9781466584327

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 70,40
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

2.

Mirman, Daniel
ISBN 10: 1466584327 ISBN 13: 9781466584327
Nuevos Cantidad: 1
Librería
GreatBookPrices
(Columbia, MD, Estados Unidos de America)
Valoración
[?]

Descripción Estado de conservación: New. Nº de ref. de la librería 20427316-n

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 69,18
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 2,24
A Estados Unidos de America
Destinos, gastos y plazos de envío

3.

Daniel Mirman
Editorial: Taylor Francis Inc, United States (2014)
ISBN 10: 1466584327 ISBN 13: 9781466584327
Nuevos Tapa dura Cantidad: 1
Librería
The Book Depository US
(London, Reino Unido)
Valoración
[?]

Descripción Taylor Francis Inc, United States, 2014. Hardback. Estado de conservación: New. Language: English . Brand New Book. Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data. It also provides a way to quantify and analyze individual differences, such as developmental and neuropsychological, in the context of a model of the overall group effects. To harness the practical aspects of this useful tool, behavioral science researchers need a concise, accessible resource that explains how to implement these analysis methods. Growth Curve Analysis and Visualization Using R 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. The book begins with discussing problems encountered when analyzing time course data, how to visualize time course data using the ggplot2 package, and how to format data for GCA and plotting. It then presents a conceptual overview of GCA and the core analysis syntax using the lme4 package and demonstrates how to plot model fits. The book describes how to deal with change over time that is not linear, how to structure random effects, how GCA and regression use categorical predictors, and how to conduct multiple simultaneous comparisons among different levels of a factor. It also compares the advantages and disadvantages of approaches to implementing logistic and quasi-logistic GCA and discusses how to use GCA to analyze individual differences as both fixed and random effects. The final chapter presents the code for all of the key examples along with samples demonstrating how to report GCA results. Throughout the book, R code illustrates how to implement the analyses and generate the graphs. Each chapter ends with exercises to test your understanding. The example datasets, code for solutions to the exercises, and supplemental code and examples are available on the author s website. Nº de ref. de la librería AAZ9781466584327

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 71,50
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

4.

Daniel Mirman
ISBN 10: 1466584327 ISBN 13: 9781466584327
Nuevos Cantidad: 1
Librería
Speedy Hen LLC
(Sunrise, FL, Estados Unidos de America)
Valoración
[?]

Descripción Estado de conservación: New. Bookseller Inventory # ST1466584327. Nº de ref. de la librería ST1466584327

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 71,53
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

5.

Mirman, Daniel (University of Alabama at Birmingham)
Editorial: Chapman and Hall/CRC (2014)
ISBN 10: 1466584327 ISBN 13: 9781466584327
Nuevos Cantidad: 1
Librería
Books2Anywhere
(Fairford, GLOS, Reino Unido)
Valoración
[?]

Descripción Chapman and Hall/CRC, 2014. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería GB-9781466584327

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 62,17
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 10,24
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

6.

Daniel Mirman
Editorial: Taylor and Francis 2014-04-16, Boca Raton (2014)
ISBN 10: 1466584327 ISBN 13: 9781466584327
Nuevos Tapa dura Cantidad: > 20
Librería
Blackwell's
(Oxford, OX, Reino Unido)
Valoración
[?]

Descripción Taylor and Francis 2014-04-16, Boca Raton, 2014. hardback. Estado de conservación: New. Nº de ref. de la librería 9781466584327

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 65,62
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 6,83
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

7.

Mirman, Daniel
ISBN 10: 1466584327 ISBN 13: 9781466584327
Nuevos Cantidad: 2
Librería
Paperbackshop-US
(Wood Dale, IL, Estados Unidos de America)
Valoración
[?]

Descripción 2014. HRD. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. Nº de ref. de la librería VT-9781466584327

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 70,66
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,39
A Estados Unidos de America
Destinos, gastos y plazos de envío

8.

Daniel Mirman
ISBN 10: 1466584327 ISBN 13: 9781466584327
Nuevos Tapa dura Cantidad: 1
Librería
Ria Christie Collections
(Uxbridge, Reino Unido)
Valoración
[?]

Descripción Hardback. Estado de conservación: New. Not Signed; Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data. It also provides a way to quantify and analyze individual diff. book. Nº de ref. de la librería ria9781466584327_rkm

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 77,38
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 4,40
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

9.

MIRMAN, DANIEL
Editorial: Chapman and Hall/CRC (2014)
ISBN 10: 1466584327 ISBN 13: 9781466584327
Nuevos Tapa dura Cantidad: 1
Librería
Herb Tandree Philosophy Books
(Stroud, GLOS, Reino Unido)
Valoración
[?]

Descripción Chapman and Hall/CRC, 2014. Hardback. Estado de conservación: NEW. 9781466584327 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Nº de ref. de la librería HTANDREE0706158

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 75,01
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 9,10
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

10.

Daniel Mirman
Editorial: Taylor Francis Inc, United States (2014)
ISBN 10: 1466584327 ISBN 13: 9781466584327
Nuevos Tapa dura Cantidad: 1
Librería
Book Depository hard to find
(London, Reino Unido)
Valoración
[?]

Descripción Taylor Francis Inc, United States, 2014. Hardback. Estado de conservación: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data. It also provides a way to quantify and analyze individual differences, such as developmental and neuropsychological, in the context of a model of the overall group effects. To harness the practical aspects of this useful tool, behavioral science researchers need a concise, accessible resource that explains how to implement these analysis methods. Growth Curve Analysis and Visualization Using R 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. The book begins with discussing problems encountered when analyzing time course data, how to visualize time course data using the ggplot2 package, and how to format data for GCA and plotting. It then presents a conceptual overview of GCA and the core analysis syntax using the lme4 package and demonstrates how to plot model fits. The book describes how to deal with change over time that is not linear, how to structure random effects, how GCA and regression use categorical predictors, and how to conduct multiple simultaneous comparisons among different levels of a factor. It also compares the advantages and disadvantages of approaches to implementing logistic and quasi-logistic GCA and discusses how to use GCA to analyze individual differences as both fixed and random effects. The final chapter presents the code for all of the key examples along with samples demonstrating how to report GCA results. Throughout the book, R code illustrates how to implement the analyses and generate the graphs. Each chapter ends with exercises to test your understanding. The example datasets, code for solutions to the exercises, and supplemental code and examples are available on the author s website. Nº de ref. de la librería BTE9781466584327

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 93,72
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

Existen otras copia(s) de este libro

Ver todos los resultados de su búsqueda