Rasch Model for Language Testing

“Professor Quan Zhang is one of the major scholars in language testing and Rasch measurement theory in China. This book provides a clear introduction to both classical test theory and modern measurement research on the Rasch model. Quan is a Board member of the Pacific Rim Objective Measurement Society. He is the author of Rasch-GZ software that provides the opportunity for students and others to apply the measurement principles presented in this book. Rasch-GZ is the first Chinese platform for both CTT-based Item Analysis and Rasch-based Test Equating. This book will be of help to scholars with an interest in using and improving measurement practices in the human sciences.”

-George Engelhard, Recipient of Benjamin Drake Wright Senior Scholar Award (2018), Georgia University, USA

“Quan Zhang has had a long-term interest in language testing. He has played a central role in developing the Pacific Rim Objective Measurement Symposia, particularly in mainland China. This puts him in an ideal position to write the book.”

-Trevor Bond, Recipient of Benjamin Drake Wright Senior Scholar Award (2025), Lead author “Applying the Rasch Model”

“This six-chapter monograph on Rasch modelling for language testing is a must not only for test developers but also for all serious researchers in the field of assessment and evaluation. The book presented a well-structured introduction to the history and development of Rasch models, and a scholastic comparison between the classical model and the Rasch approach. It then gave detailed discussions on how to set up the analysis and interpret the outputs. I appreciate especially the author's use of concrete and interesting test development cases to highlight critical points in the process. The book also provided important resources including the PROMS conferences and workshops in support of the readers' further development. I am very much impressed by the breadth of scope, and the depth in intensity and thoroughness. I can recommend this book to postgraduate students and researchers who aspire to rigor and validity in their research findings.”

-Magdalena Mo Ching Mok, The Education University of Hong Kong, Hong Kong, SAR, China

“This book is an insightful contribution to the field of language assessment. It bridges the gap between complex statistical model and practical testing scenarios. It serves as an invaluable resource for researchers and practitioners aiming to enhance the quality of their assessments through item response theory.”

-Xiaoting Huang, Peking University, China

“I believe this book will help readers to bridge the gap between theoretical frameworks and practical applications. This book also introduces Rasch-GZ, a cutting-edge software that integrates AI-driven assistance and bilingual support for language testing. With Rasch-GZ, readers can access supplementary video tutorials in English, facilitating hands-on learning and software mastery to address challenges in language learning and testing.”

-A.Y.M. ATIQUIL ISLAM, the East China Normal University, Shanghai, China

"Rasch Model for Language Testing” integrates theoretical perspectives with practical applications. This book will be a valuable reference for both researchers and practitioners seeking to address real-world measurement challenges in language testing.”

-Zi Yan, The Education University of Hong Kong, Hong Kong, SAR, China

“Professor Zhang’s book is a valuable addition to the Rasch measurement literature, making a substantial contribution to the field. It provides readers with a comprehensive introduction to the Rasch model, extending to advanced topics such as test equating. Notably, the book also includes a dedicated chapter on PROMS conferences focused on advancing Rasch measurement.”

-Bambang Sumintono, Universitas Islam International, Indonesia

“Combining theoretical rigor with real-world application, this book deepens our understanding of Rasch measurement and its relevance across educational and social science contexts.”

-Che Yee Lye, SUSS, Singapore

“This book introduces both CTT and the Rasch model in an integrated approach, providing a comprehensive pathway to enhanced measurement accuracy and efficiency in the context of language testing and bridging the gap between theoretical frameworks and practical applications.”

-LUO, Guanzhong, South China Normal University, China