Behavioral Research Data Analysis with R

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 pra...

Full description

Main Authors: Li, Yuelin, Baron, Jonathan (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY Springer New York 2012, 2012
Edition:1st ed. 2012
Series:Use R!
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 02240nmm a2200301 u 4500
001 EB000363848
003 EBX01000000000000000216900
005 00000000000000.0
007 cr|||||||||||||||||||||
008 130626 ||| eng
020 |a 9781461412380 
100 1 |a Li, Yuelin 
245 0 0 |a Behavioral Research Data Analysis with R  |h Elektronische Ressource  |c by Yuelin Li, Jonathan Baron 
250 |a 1st ed. 2012 
260 |a New York, NY  |b Springer New York  |c 2012, 2012 
300 |a XII, 245 p. 32 illus., 11 illus. in color  |b online resource 
505 0 |a 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 
653 |a Statistics  
653 |a Statistics for Social Sciences, Humanities, Law 
700 1 |a Baron, Jonathan  |e [author] 
710 2 |a SpringerLink (Online service) 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Use R! 
856 |u https://doi.org/10.1007/978-1-4614-1238-0?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 519.5 
520 |a 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