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Beskrivning
In addition to using real-life data sets to demonstrate each method, the book also reports each method in three parts-- first describing when and why to apply it, then how to compute the method in R, and finally how to present, visualize, and interpret the results.
Patrick Mair is Senior Lecturer in Statistics in the Department of Psychology at Harvard University. His research focuses on computational and applied statistics with special emphasis on psychometric methods, such as latent variable models and multivariate exploratory techniques. Mair holds a doctorate in Statistics and a master’s degree in Psychology from the University of Vienna. He was also a Research Fellow at the Department of Statistics at the University of California, Los Angeles.
Recensioner i media
“The book gives an exhaustive overview of statistical methods that may be used when analyzing results of research in psychology. Main accent is on the use of R software during analysis of data. The main goal of the book is to provide the reader with main methods used for data analysis and how those methods may be executed using software package R.” (Jonas Šiaulys, zbMath 1414.62006, 2019)
Innehållsförteckning
Classical Test Theory.-Factor Analysis.- Path Analysis and Structural Equation Models.- Item Response Theory.- Preference Modeling.- Principal Component Analysis and Extensions.- Correspondence Analysis.- Gifi Methods.- Multidimensional Scaling.- Biplots.- Networks.- Parametric Cluster Analysis and Mixture Regression.- Modeling Trajectories and Time Series.- Analysis of fMRI Data.