This new text provides a state-of the-art introduction to
educational and psychological testing and measurement theory that
reflects many intellectual developments of the past two decades.
The book introduces psychometric theory using a latent variable
modeling (LVM) framework and emphasizes interval estimation
throughout, so as to better prepare readers for studying more
advanced topics later in their careers. Featuring numerous
examples, it presents an applied approach to conducting testing and
measurement in the behavioral, social, and educational sciences.
Readers will find numerous tips on how to use test theory in
today's actual testing situations. To reflect the growing use of
statistical software in psychometrics, the authors introduce the
use of Mplus after the first few chapters. IBM SPSS, SAS, and R are
also featured in several chapters. Software codes and associated
outputs are reviewed throughout to enhance comprehension.
Essentially all of the data used in the book are available on the
website. In addition instructors will find helpful PowerPoint
lecture slides and questions and problems for each chapter. The
authors rely on LVM when discussing fundamental concepts such as
exploratory and confirmatory factor analysis, test theory,
generalizability theory, reliability and validity, interval
estimation, nonlinear factor analysis, generalized linear modeling,
and item response theory. The varied applications make this book a
valuable tool for those in the behavioral, social, educational, and
biomedical disciplines, as well as in business, economics, and
marketing. A brief introduction to R is also provided. Intended as
a text for advanced undergraduate and/or graduate courses in
psychometrics, testing and measurement, measurement theory,
psychological testing, and/or educational and/or psychological
measurement taught in departments of psychology, education, human
development, epidemiology, business, and marketing, it will also
appeal to researchers in these disciplines. Prerequisites include
an introduction to statistics with exposure to regression analysis
and ANOVA. Familiarity with SPSS, SAS, STATA, or R is also
beneficial. As a whole, the book provides an invaluable
introduction to measurement and test theory to those with limited
or no familiarity with the mathematical and statistical procedures
involved in measurement and testing.
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