Behavioral Research Data Analysis with R

Front Cover
Springer Science & Business Media, Dec 2, 2011 - Social Science - 245 pages

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 they can be quickly incorporated into readers’ own research.

 

Selected pages

Contents

Chapter 1 Introduction
1
Chapter 2 Reading and Transforming Data Format
19
Chapter 3 Statistics for Comparing Means and Proportions
39
Chapter 4 R Graphics and Trellis Plots
55
RepeatedMeasures
79
Chapter 6 Linear and Logistic Regression
109
Chapter 7 Statistical Power and Sample Size Considerations
129
Chapter 8 Item Response Theory
139
Chapter 9 Imputation of Missing Data
161
Chapter 10 Linear MixedEffects Models in Analyzing RepeatedMeasures Data
177
Chapter 11 Linear MixedEffects Models in ClusterRandomized Studies
205
Appendix A Data Management with a Database
229
References
237
Index
242
Copyright

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Behavioral Research Data Analysis with R
Yuelin Li,Jonathan Baron
No preview available - 2011

Common terms and phrases

abst AIC BIC logLik ANOVA ANX.ba binomial calculate carat clusters coefficient color columns command confidence intervals correlation covariance data frame database default degrees of freedom Df Sum Sq diamonds DPR.ba ema INSERT epsilon estimated example F statistic Fixed effects format Formula function gender GPCM graph imputed datasets INSERT INTO ema interaction Intercept intervention condition iterations kyphosis latent lmeN2 logistic regression matrix matrix multiplication Mean Sq F model fit multiple imputation ncol normal distribution null null hypothesis ODBC output p-value package parameters person’s plot PostgreSQL postthks prethksC random effects Rasch model recall scores represent Residuals sample scatterplot schtx shows simulation Springer Science+Business Media Sq F value Sq Mean Sq standard error statistical power stevens.df subj subjects Sum Sq Mean sums of squares t-test THKS scores tvsfp.df value Pr(>F variable variance vector WinBUGS within-subject xyplot

About the author (2011)

Yuelin Li is a research psychologist and a behavioral statistician. His appointment at Memorial Sloan-Kettering Cancer Center allows him to apply a range of statistical techniques in understanding complex human behaviors---social network influence of young adult smoking, genetic-environment interaction in cognitive impairment, health behavior change, psychosocial and quality of life outcomes in cancer treatment, survivorship, and end of life care.

Jonathan Baron is Professor of Psychology at the University of Pennsylvania, where he teaches Judgments and Decision and does research people's judgments and decisions about public policies. He has been fascinated by the promise of computers since about 1960 and has come of age with them and used them in his research. In 2000, he began the Web site (http://finzi.psych.upenn.edu) and document that led to this book, which was then mostly about data layout, until Yuelin Li (who shared the same PhD advisor, David Krantz) volunteered to help with the more substantive parts. Baron is founding and current editor of the journal Judgment and Decision Making.

Bibliographic information

TitleBehavioral Research Data Analysis with R
Use R!
AuthorsYuelin Li, Jonathan Baron
Editionillustrated, annotated
PublisherSpringer Science & Business Media, 2011
ISBN1461412382, 9781461412380
Length245 pages
Subjects › 

Social Science / Research
Social Science / Statistics
  
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