Longitudinal Data Analysis for the Behavioral Sciences Using R (Hardcover, New)


This book is unique in its focus on showing students in the behavioral sciences how to analyze longitudinal data using R software. The book focuses on application, making it practical and accessible to students in psychology, education, and related fields, who have a basic foundation in statistics. It provides explicit instructions in R computer programming throughout the book, showing students exactly how a specific analysis is carried out and how output is interpreted. "This text excels in the explanation of models with the side-by-side use of R, so the audience can see the models in action. There is a gentle coverage of the mathematics driving the models, which does not seem intimidating to a non technical audience."-William Anderson, Cornell University

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Product Description

This book is unique in its focus on showing students in the behavioral sciences how to analyze longitudinal data using R software. The book focuses on application, making it practical and accessible to students in psychology, education, and related fields, who have a basic foundation in statistics. It provides explicit instructions in R computer programming throughout the book, showing students exactly how a specific analysis is carried out and how output is interpreted. "This text excels in the explanation of models with the side-by-side use of R, so the audience can see the models in action. There is a gentle coverage of the mathematics driving the models, which does not seem intimidating to a non technical audience."-William Anderson, Cornell University

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Product Details

General

Imprint

Sage Publications Ltd

Country of origin

United States

Release date

December 2011

Availability

Expected to ship within 12 - 17 working days

First published

October 2011

Authors

Dimensions

254 x 177 x 35mm (L x W x T)

Format

Hardcover - Cloth over boards

Pages

568

Edition

New

ISBN-13

978-1-4129-8268-9

Barcode

9781412982689

Categories

LSN

1-4129-8268-5



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