Workshop · Rasch-GZ

Rasch-GZ: Item Analysis and Test Equating in the Age of AI

Date: 9 November 2025 · Keywords: CTT, Rasch Model, Item Analysis, Test Equating

Workshop Fees

· Registered conference participants: Free

· Non-registered participants: USD 80 / CNY 500

For payment details and registration policy, please refer to the Conference Registration & Fees page.

Workshop Overview

The purpose of this workshop is to introduce two important aspects of language testing: CTT-based Item Analysis and Rasch-based Test Equating via the Rasch-GZ. This workshop fits the IEIR theme of applications in education and research.

Workshop Content

The workshop falls into three parts:

Introduction to the Rasch-GZ
1. Research background: Classical Test Theory (CTT) and the Rasch model. In particular, the ten-year (1990–1999) MET equating project in China.
2. What is item analysis and what is test equating?
3. The significance of these two aspects.
Demonstration of the Rasch-GZ software
1. CTT-based item analysis with detailed interpretations.
2. Rasch-based test equating with detailed interpretations.
3. For classroom practice (participants may bring their own data for on-site analysis).
4. For academic research (MA or PhD) (participants may bring their own data for further guidance).
Q & A
1. English will be used. If necessary, we can switch to English and/or Mandarin.

Highlights of the Rasch-GZ Software

As Rasch-GZ is highly incorporated with AI, participants needn’t possess particular psychometric competence. Users may choose the language for output files.

Guided onboarding with AI hints in the user-selected language: from installation to parameter interpretation.

No command files required; the only input is a properly formatted data file. If a file is not prepared correctly, the system provides textual or spoken guidance step by step until success.

Please bring your laptop to download the free student version for immediate use. Complimentary books will be distributed during the workshop.

Workshop Host

Prof. Zhang Quan

Adjunct Professor, Guangdong University of Foreign Studies (SCBC)

Prof. Zhang earned his PhD in Applied Linguistics in 1993 under Prof. Gui Shichun (1930–2017). He was invited by ETS (2002) to study test equating, and later conducted research with Prof. Lyle F. Bachman at UCLA (2006–2009). With 30+ years of experience, he has served as dean/chair at several universities and was involved in the national MET Equating Project (1990–1999, MOE China). He has supervised PhD students and served as reviewer for international journals. During 2019–2022, he led a team that developed the Rasch-GZ system.

More: PROMS proceedings (Springer Nature) doi.org/10.2991/978-94-6463-494-5-25 · Official site rasch-gz.com

More Information

For detailed features of Rasch-GZ, see doi.org/10.2991/978-94-6463-494-5-25 or visit www.rasch-gz.com.