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.

"This book provides excellent coverage of conducting psychometric analyses using R for all levels, including psychometricians, researchers, and graduate students. The book would also serve as a top-notch companion to a theoretical measurement/psychometric textbook. The book uses a hands-on approach with explanation through practical examples that provide readers with commentary about the input and output for each analysis covered. The R code provided in the examples will be helpful for both seasoned and new users of R. Overall, this book combines readability, practical examples, and many pieces of R code into a superb resource to aid in conducting psychometric analyses."—Brandon LeBeau, Assistant Professor, University of Iowa"The Handbook of Educational Measurement and Psychometrics Using R is an outstanding addition to literature. The content is both broad and comprehensive thereby providing researchers and practitioners alike with an excellent resource for dealing with a diverse range of psychometric analyses. Also, instructors could use the Handbook as a complimentary text for teaching introductory and advanced measurement courses because programming with R eliminates the need to use different software programs. In short, the Handbook is a very useful and much needed resource for our field."—Dr. Mark Gierl, Professor of Educational Psychology, Canada Research Chair in Educational Measurement, Director, Centre for Research in Applied Measurement and Evaluation, University of Alberta, Edmonton, Alberta, Canada"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"I wish to commend the authors on writing their first book. After reading the text, it seemed they had been writing books for many years as they truly understood their audience. ...The text is appropriate for advanced undergraduate and graduate students with some knowledge of educational measurements or psychometrics, as well as researchers, who wish to learn these methods within R. The text has a balance of theory and applied examples, whereby the authors provide explanations of method assumptions, R syntax and output, and a library in R entitled hemp with datasets to run through the examples provided in the text. ...In addition to providing an array of datasets to test the various chapter functions, the hemp library also provides various functions, a help section, and the library’s correct citation for publication. Overall, I would recommend this book as a text for the classroom or a handbook reference source for researchers, who wish to expand their knowledge of educational measurements, and psychometrics, as well as advancing their understanding of R."- Stephanie A. Besser in ISCB, June 2019 "Many books currently available in the field of educational measurement and psychometrics require the use of expensive software programs. This can make it challenging for readers to reproduce example analyses or apply the given methods to their own data. Desjardins and Bulut’s Handbook of Educational Measurement and Psychometrics Using R fills a need in the field with many practical examples of how to use R to analyze data for a wide variety of educational measurement and psychometric topics... For each of the methods covered, the authors present a detailed step-by-step analysis of the data that include reading in the data, conducting the analysis, and interpreting the output... Overall, the Handbook of Educational Measurement and Psychometrics Using R by Desjardins and Bulut is a unique and much-needed addition to the field of educational measurement and psychometrics. This book would be a great resource for professors, researchers, and graduate students who are not familiar with R and need a user-friendly introduction to educational measurement and psychometric analysis techniques."- Anelise G. Sabbag, The American Statistician, November 2019

• 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.

"This book provides excellent coverage of conducting psychometric analyses using R for all levels, including psychometricians, researchers, and graduate students. The book would also serve as a top-notch companion to a theoretical measurement/psychometric textbook. The book uses a hands-on approach with explanation through practical examples that provide readers with commentary about the input and output for each analysis covered. The R code provided in the examples will be helpful for both seasoned and new users of R. Overall, this book combines readability, practical examples, and many pieces of R code into a superb resource to aid in conducting psychometric analyses."—Brandon LeBeau, Assistant Professor, University of Iowa"The Handbook of Educational Measurement and Psychometrics Using R is an outstanding addition to literature. The content is both broad and comprehensive thereby providing researchers and practitioners alike with an excellent resource for dealing with a diverse range of psychometric analyses. Also, instructors could use the Handbook as a complimentary text for teaching introductory and advanced measurement courses because programming with R eliminates the need to use different software programs. In short, the Handbook is a very useful and much needed resource for our field."—Dr. Mark Gierl, Professor of Educational Psychology, Canada Research Chair in Educational Measurement, Director, Centre for Research in Applied Measurement and Evaluation, University of Alberta, Edmonton, Alberta, Canada"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"I wish to commend the authors on writing their first book. After reading the text, it seemed they had been writing books for many years as they truly understood their audience. ...The text is appropriate for advanced undergraduate and graduate students with some knowledge of educational measurements or psychometrics, as well as researchers, who wish to learn these methods within R. The text has a balance of theory and applied examples, whereby the authors provide explanations of method assumptions, R syntax and output, and a library in R entitled hemp with datasets to run through the examples provided in the text. ...In addition to providing an array of datasets to test the various chapter functions, the hemp library also provides various functions, a help section, and the library’s correct citation for publication. Overall, I would recommend this book as a text for the classroom or a handbook reference source for researchers, who wish to expand their knowledge of educational measurements, and psychometrics, as well as advancing their understanding of R."- Stephanie A. Besser in ISCB, June 2019 "Many books currently available in the field of educational measurement and psychometrics require the use of expensive software programs. This can make it challenging for readers to reproduce example analyses or apply the given methods to their own data. Desjardins and Bulut’s Handbook of Educational Measurement and Psychometrics Using R fills a need in the field with many practical examples of how to use R to analyze data for a wide variety of educational measurement and psychometric topics... For each of the methods covered, the authors present a detailed step-by-step analysis of the data that include reading in the data, conducting the analysis, and interpreting the output... Overall, the Handbook of Educational Measurement and Psychometrics Using R by Desjardins and Bulut is a unique and much-needed addition to the field of educational measurement and psychometrics. This book would be a great resource for professors, researchers, and graduate students who are not familiar with R and need a user-friendly introduction to educational measurement and psychometric analysis techniques."- Anelise G. Sabbag, The American Statistician, November 2019

• 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.

"This book provides excellent coverage of conducting psychometric analyses using R for all levels, including psychometricians, researchers, and graduate students. The book would also serve as a top-notch companion to a theoretical measurement/psychometric textbook. The book uses a hands-on approach with explanation through practical examples that provide readers with commentary about the input and output for each analysis covered. The R code provided in the examples will be helpful for both seasoned and new users of R. Overall, this book combines readability, practical examples, and many pieces of R code into a superb resource to aid in conducting psychometric analyses."—Brandon LeBeau, Assistant Professor, University of Iowa"The Handbook of Educational Measurement and Psychometrics Using R is an outstanding addition to literature. The content is both broad and comprehensive thereby providing researchers and practitioners alike with an excellent resource for dealing with a diverse range of psychometric analyses. Also, instructors could use the Handbook as a complimentary text for teaching introductory and advanced measurement courses because programming with R eliminates the need to use different software programs. In short, the Handbook is a very useful and much needed resource for our field."—Dr. Mark Gierl, Professor of Educational Psychology, Canada Research Chair in Educational Measurement, Director, Centre for Research in Applied Measurement and Evaluation, University of Alberta, Edmonton, Alberta, Canada"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"I wish to commend the authors on writing their first book. After reading the text, it seemed they had been writing books for many years as they truly understood their audience. ...The text is appropriate for advanced undergraduate and graduate students with some knowledge of educational measurements or psychometrics, as well as researchers, who wish to learn these methods within R. The text has a balance of theory and applied examples, whereby the authors provide explanations of method assumptions, R syntax and output, and a library in R entitled hemp with datasets to run through the examples provided in the text. ...In addition to providing an array of datasets to test the various chapter functions, the hemp library also provides various functions, a help section, and the library’s correct citation for publication. Overall, I would recommend this book as a text for the classroom or a handbook reference source for researchers, who wish to expand their knowledge of educational measurements, and psychometrics, as well as advancing their understanding of R."- Stephanie A. Besser in ISCB, June 2019 "Many books currently available in the field of educational measurement and psychometrics require the use of expensive software programs. This can make it challenging for readers to reproduce example analyses or apply the given methods to their own data. Desjardins and Bulut’s Handbook of Educational Measurement and Psychometrics Using R fills a need in the field with many practical examples of how to use R to analyze data for a wide variety of educational measurement and psychometric topics... For each of the methods covered, the authors present a detailed step-by-step analysis of the data that include reading in the data, conducting the analysis, and interpreting the output... Overall, the Handbook of Educational Measurement and Psychometrics Using R by Desjardins and Bulut is a unique and much-needed addition to the field of educational measurement and psychometrics. This book would be a great resource for professors, researchers, and graduate students who are not familiar with R and need a user-friendly introduction to educational measurement and psychometric analysis techniques."- Anelise G. Sabbag, The American Statistician, November 2019

• 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