Department of Educational Psychology
Introduction to Educational and Psychological Measurement Using R
Date of this Version
2018
Citation
Albano, A. (2018). Introduction to educational and psychological measurement using R. http://www.thetaminusb.com/intro-measurement-r/index.html#license
Abstract
This book provides an introduction to the theory and application of measurement in education and psychology. Topics include test development, item writing, item analysis, reliability, dimensionality, and item response theory. These topics come together in overviews of validity and, finally, test evaluation.
Validity and test evaluation are based on both qualitative and quantitative analysis of the properties of a measure. This book addresses the qualitative side using a simple argument-based approach. The quantitative side is addressed using descriptive and inferential statistical analyses, all of which are presented and visualized within the statistical environment R (R Core Team 2017).
The intended audience for this book includes advanced undergraduate and graduate students, practitioners, researchers, and educators. Knowledge of R is not a prerequisite to using this book. However, familiarity with data analysis and introductory statistics concepts, especially ones used in the social sciences, is recommended.
Comments
This book is published under a Creative Commons Attribution 4.0 International License, which allows for adaptation and redistribution as long as appropriate credit is given. The source code for the book is available at https://github.com/talbano/intro-measurement. Comments and contributions are welcome.