An Introduction to the Rasch Model with Examples in R by Rudolf Debelak
- Clear presentation of the underlying theory
- Practical introduction to fitting Rasch models by means of the freely available statistical software R
An Introduction to the Rasch Model with Examples in R
An Introduction to the Rasch Model with Examples in R
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Summary
This book provides a concise introduction to the topic of the Rasch model, which has become relatively well-known since it was used in the PISA study. In addition to a clear presentation of the underlying theory, the book also offers a practical introduction to fitting Rasch models by means of the freely available statistical software R.
An Introduction to the Rasch Model with Examples in R Summary
An Introduction to the Rasch Model with Examples in R Reviews
Overall, the book has a lot of great detail and is technically sound. It is also clearly written and at an appropriate level of difficulty. Another big strength is the chapters with R applications. I know my students would love this, and generally this is the type of guidance they want with respect to conducting IRT in R, as opposed to trying to field through the different packages, figure out how they scale latent variables in the package, and more. A final big strength is the focus on fairness as a core underlying issue of model evaluation. From the Introduction chapter and throughout the various other chapters, issues of fairness were put at the forefront. This aligns with the Standards for Educational and Psychological Testing, and in general with modern views of validity and test theory.
- Anne Corinne Huggins-Manley. University of Florida
With regard to R, I think it provides a good introduction. The book explains the basic features of R code and then proceeds to give many examples of R in action, which I think it a good approach. Overall, the book is very well-written. Most of the explanations of Rasch model properties or R commands are extraordinary clear.
- Leah Feuerstahler, Fordham University
Overall, the book has a lot of great detail and is technically sound. It is also clearly written and at an appropriate level of difficulty. Another big strength is the chapters with R applications. I know my students would love this, and generally this is the type of guidance they want with respect to conducting IRT in R, as opposed to trying to field through the different packages, figure out how they scale latent variables in the package, and more. A final big strength is the focus on fairness as a core underlying issue of model evaluation. From the Introduction chapter and throughout the various other chapters, issues of fairness were put at the forefront. This aligns with the Standards for Educational and Psychological Testing, and in general with modern views of validity and test theory.
- Anne Corinne Huggins-Manley, University of Florida, USA
With regard to R, I think it provides a good introduction. The book explains the basic features of R code and then proceeds to give many examples of R in action, which I think it a good approach. Overall, the book is very well-written. Most of the explanations of Rasch model properties or R commands are extraordinary clear.
- Leah Feuerstahler, Fordham University, USA
The book An Introduction to the Rasch Model with Examples in R provides a comprehensive compendium of the Rasch model as a cornerstone of psychometric measurement. The authors offer a well-written introduction into the basic concepts of the Rasch model for binary items, with a particular focus on differential item functioning and on fit statistics for model evaluation and item selection. Hands-on examples illustrate the use of R syntax for various packages and demonstrate the interpretation of results for real-life research questions. Moreover, the book contains an up-to-date overview of model extensions to accommodate ordinal response formats and parameter heterogeneity. Throughout the book, the content is accessible to the reader without sacrificing mathematical and statistical rigor. The book therefore proves to be a valuable source for different audiences, including students in introductory or advanced classes on test theory, instructors and interested scholars, as well as applied psychometricians. With its combination of statistical detail and applied perspective, the book will certainly help to pave the way for modern item response theory to be used in practice and to overcome the shortcomings of classical test theory.
-Thorsten Meiser, University of Mannheim, Germany
About Rudolf Debelak
Rudolf Debelak is a Senior Researcher at the University of Zurich, Switzerland. His research interests include psychometrics, with a focus on item response theory, machine learning, and the mathematical and statistical foundations of psychological research methods. Before working in academia, he was employed in the psychological test industry for several years.
Carolin Strobl is a Professor of Psychological Methods at the University of Zurich, Switzerland. Her research spans psychometrics, statistics and machine learning. She has been teaching introductory and advanced courses on statistics and psychometrics for many years and received the 2018 teaching award from her department's student council.
Matthew Zeigenfuse currently works as a data scientist. He spent many years working in academia, researching and teaching cognitive science, psychometrics and Bayesian statistics in both the US and Switzerland.
Table of Contents
1 Introduction 2 The Rasch Model 3 Parameter Estimation 4 Test Evaluation 5 Basic R Usage 6 R Package eRm 7 R Package mirt 8 R Package TAM 9 R Interface to Stan 10 Extensions to the Rasch Model 11 Models for Polytomous Responses 12 Outlook on Special Applications
Additional information
NLS9781138710467
9781138710467
1138710466
An Introduction to the Rasch Model with Examples in R by Rudolf Debelak
New
Paperback
Taylor & Francis Ltd
2022-06-07
306
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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