Margaret Wu has taught a number of Educational Measurement courses at the University of Melbourne. She has been involved in large-scale assessment programs such as PISA and TIMSS. Margaret's research interests include the development of item response models and mathematics problem solving. She has co-authored two IRT software programs (ACERConQuest and the TAM package in R). Hak Ping Tam has many years of experience teaching various topics in educational measurement and statistics. Hak Ping has been involved in the design and administration of various Taiwan public examinations and he is an advisor to examination bodies on data analysis procedures of student assessment data. He has also participated in standard setting procedures as well as delivered numerous training sessions on item writing. Tsung-Hau Jen has had an extensive involvement in Taiwan's participation of TIMSS. He has an expertise in large-scale assessment methodologies, particularly in the area ofcomplex sampling. Tsung-Hau has taught university courses on large-scale assessments and quantitative methods. He frequently provides advice to researchers involved in Taiwan's national student monitoring programs.

Accessible to a broad range of researchers, even to those with no formal mathematics training

Includes numerous examples and exercises to provide readers with the opportunity to get hands-on practice constructing measurement scales

Prepared by three authors who have substantial experience in presenting educational measurement topics, in-depth concepts and applications in an easy-to-understand manner

What Is Measurement.- Construct, Framework and Test Development - from IRT Perspectives. - Test Design.- Test Administration and Data Preparation.- Classical Test Theory.- An Ideal Measurement.- Rasch Model (The Dichotomous Case).- Residual-based Fit Statistics.- Partial Credit Model.- Two-parameter IRT Models,- Differential Item Function.- Equating.- Facets Models.- Bayesian IRT Models (MML estimation).- Multidimensional IRT models.