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Behavioral Research Data Analysis with R / by Yuelin Li, Jonathan Baron
(Use R!. ISSN:21975744)

1st ed. 2012.
出版者 (New York, NY : Springer New York : Imprint: Springer)
出版年 2012
本文言語 英語
大きさ XII, 245 p. 32 illus., 11 illus. in color : online resource
著者標目 *Li, Yuelin author
Baron, Jonathan author
SpringerLink (Online service)
件 名 LCSH:Social sciences -- Statistical methods  全ての件名で検索
FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
一般注記 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
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
HTTP:URL=https://doi.org/10.1007/978-1-4614-1238-0
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Springer eBooks 9781461412380
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データ種別 電子ブック
分 類 LCC:HA1-4737
DC23:300.727
書誌ID 4000117138
ISBN 9781461412380

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