Handbook of Educational Measurement and Psychometrics Using R Chapman & Hall/CRC The R Series

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.

1. Introduction to the R Programming Language 2. Classical Test Theory 3. Generalizability Theory 4. Factor Analytic Approach in Measurement 5. Item Response Theory for Dichotomous Items 6. Item Response Theory for Polytomous Items 7. Multidimensional Item Response Theory 8. Explanatory Item Response Theory 9. Visualizing Data and Measurement Models 10. Equating 11. Measurement Invariance and Differential Item Functioning 12. More Advanced Topics in Measurement

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.