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Modern Psychometrics with R (Paperback, 1st ed. 2018)
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Modern Psychometrics with R (Paperback, 1st ed. 2018)
Series: Use R!
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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.
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