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.
