Authors:
- Fills need in existing literature for textbook on R and Psychometrics
- Broadens perspective from classical methods (for instance, latent variable models) to emphasize contemporary methodology (multidimensional scaling, functional data analysis, fMRI analysis)
- Accompanying datasets and reproducible code allow readers to move beyond the conceptual
- Includes supplementary material: sn.pub/extras
Part of the book series: Use R! (USE R)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (14 chapters)
-
Front Matter
-
Back Matter
About this book
This textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a modern psychologist. The way statistics is used, and maybe even perceived, in psychology has drastically changed over the last few years; computationally as well as methodologically. R has taken the field of psychology by storm, to the point that it can now safely be considered the lingua franca for statistical data analysis in psychology. The goal of this book is to give the reader a starting point when analyzing data using a particular method, including advanced versions, and to hopefully motivate him or her to delve deeper into additional literature on the method.
Beginning with one of the oldest psychometric model formulations, the true score model, Mair devotes the early chapters to exploring confirmatory factor analysis, modern test theory, and a sequence of multivariate exploratory method. Subsequent chapters present special techniques useful for modern psychological applications including correlation networks, sophisticated parametric clustering techniques, longitudinal measurements on a single participant, and functional magnetic resonance imaging (fMRI) data. 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. Requiring a basic knowledge of statistical methods and R software, but written in a casual tone, this text is ideal for graduate students in psychology.
Relevant courses include methods of scaling, latent variable modeling, psychometrics for graduate students in Psychology, and multivariate methods in the social sciences.
Reviews
Authors and Affiliations
-
Department of Psychology, Harvard University, Cambridge, USA
Patrick Mair
About the author
Bibliographic Information
Book Title: Modern Psychometrics with R
Authors: Patrick Mair
Series Title: Use R!
DOI: https://doi.org/10.1007/978-3-319-93177-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Softcover ISBN: 978-3-319-93175-3Published: 27 September 2018
eBook ISBN: 978-3-319-93177-7Published: 20 September 2018
Series ISSN: 2197-5736
Series E-ISSN: 2197-5744
Edition Number: 1
Number of Pages: XIII, 458
Number of Illustrations: 59 b/w illustrations, 96 illustrations in colour
Topics: Statistics for Social Sciences, Humanities, Law, Psychometrics, Psychological Methods/Evaluation, Statistics and Computing/Statistics Programs