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Author Li, Yuelin.
Title Behavioral research data analysis with R / Yuelin Li, Jonathan Baron.
Imprint New York, NY : Springer, 2012.

View online
View online
Author Li, Yuelin.
Series Use R!
Use R!
Subject Statistics -- Data processing.
Statistics -- Computer programs.
R (Computer program language)
Statistics as Topic.
Alt Name Baron, Jonathan, 1944-
Description 1 online resource (xii, 245 pages).
polychrome rdacc
Bibliography Note Includes bibliographical references and index.
Contents Introduction -- Reading and Transformting Data Format -- Statistics for Comparing Means and Proportions -- R Graphics and Trellis Plots -- Analysis of Variance -- Linear and Logistic Regression -- Statistical Power and Sample Size Considerations -- Item Response Theory -- Imputation of Missing Data -- Linear Mixed Effects Models in Analyzing Repeated Measures Data -- Linear Mixed Effects Models in Cluster Randomized Studies.
Summary This book is written for behavioral scientists who want to consider adding R to their existing set of statistical tools, or want to switch to R as their main computation tool. The authors aim primarily to help practitioners of behavioral research make the transition to R. The focus is to provide practical advice on some of the widely-used statistical methods in behavioral research, using a set of notes and annotated examples. The book will also help beginners learn more about statistics and behavioral research. These are statistical techniques used by psychologists who do research on human subjects, but of course they are also relevant to researchers in others fields that do similar kinds of research. The authors emphasize practical data analytic skills so that readers can quickly incorporated the data in their own research.
ISBN 9781461412380 (electronic bk.)
1461412382 (electronic bk.)
ISBN/ISSN 10.1007/978-1-4614-1238-0
OCLC # 768111056
Additional Format Print version: Li, Yuelin. Behavioral research data analysis with R. New York, NY : Springer, 2012 (DLC) 2011937574

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