Название: Handbook of Educational Measurement and Psychometrics Using R Автор: Christopher D. Desjardins, Okan Bulut
Издательство: Chapman and Hall/CRC
Серия: Chapman & Hall/CRC The R Series
ISBN: 1498770134
Год: 2018
Страниц: 326
Язык: английский
Формат: pdf (true)
Размер: 34.5 MB
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.
During our graduate studies, the R programming language (R Core Team, 2017) really began to pick up steam in educational measurement and psychometrics. It was not very surprising that a growing number of researchers and practitioners in our field immediately started learning R. First and foremost, R is free, open-source, and cross-platform (e.g., available on Windows, Mac OS, and Linux). The built-in functions in R help us organize and manipulate data, run various statistical analyses, and create high-quality graphics. Although R is particularly useful for statistical computing and data visualization, it can also be used in a myriad of ways (e.g., data science and web programming). In addition, R is being actively developed and is growing exponentially, with a very attentive R core team and developers who submit packages to the Comprehensive R Archive Network (CRAN) and regularly update their algorithms in R, fix bugs, and add new enhancements.
"This book may be the first attempt to demonstrate how to use R to analyze data in the fields of educational measurement and psychometrics. The rapid development of R has also facilitated the implementation of some data analyses which were conducted using costly software in the past. One of the unique features of this textbook is that it illustrates step by step how to analyze data focusing on educational measurement and psychometric methods. Such a detailed approach makes it an extremely useful textbook for learning. It is a must for my graduate-level educational measurement and psychometrics courses. Moreover, this book is a great resource when I am analyzing data using R in my own research. In sum, this book is highly recommended for anyone wishing to teach a measurement course using R and to advance their own research based on psychometric methods." - Pey-Yan Liou, Graduate Institute of Learning and Instruction, National Central University
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