Currently there are many introductory textbooks on educational measurement and psychometrics as well as R. However, there is no single book that covers important topics in measurement and psychometrics as well as their applications in R.
The Handbook of Educational Measurement and Psychometrics Using R covers a variety of topics, including classical test theory; generalizability theory; the factor analytic approach in measurement; unidimensional, multidimensional, and explanatory item response modeling; test equating; visualizing measurement models; measurement invariance; and differential item functioning.
This handbook is intended for undergraduate and graduate students, researchers, and practitioners as a complementary book to a theory-based introductory or advanced textbook in measurement. Practitioners and researchers who are familiar with the measurement models but need to refresh their memory and learn how to apply the measurement models in R, would find this handbook quite fulfilling. Students taking a course on measurement and psychometrics will find this handbook helpful in applying the methods they are learning in class. In addition, instructors teaching educational measurement and psychometrics will find our handbook as a useful supplement for their course.
Autorentext
Christopher Desjardins is a Research Associate at the University of Minnesota.
Okan Bulut is an Associate Professor of educational measurement at the University of Alberta.
Inhalt
Introduction to the R Programming Language
Classical Test Theory
Generalizability Theory
Factor Analytic Approach in Measurement
Item Response Theory for Dichotomous Items
Item Response Theory for Polytomous Items
Multidimensional Item Response Theory
Explanatory Item Response Theory
Visualizing Data and Measurement Models
Equating
Measurement Invariance and Differential Item Functioning
More Advanced Topics in Measurement