In collaboration with researchers from the University of Sydney and the University of Western Australia, the School of Education and Social Work hosts a 2-day course in Rasch Measurement Theory including the principles of Rasch measurement.
Part 1 is designed to familiarize participants in the practical use of the RUMM2030 software – a very easy to use interactive program that analyses comprehensive diagnostics in both tabular and graphical forms. It can also be used in large scale assessments including vertical equating.
Rasch models of measurement are used in large scale national and international assessments, not only to analyse test data after collection, but to use as criteria for design of test items and their administration. The content of the course is based on Andrich, D. & Marais, I. (2019). Participants will have the opportunity to analyse their own data in workshop sessions that are carried out in the afternoons.
| Registration | Early-bird (before midday 27/3/26) | Standard (after midday 27/3/26) |
|---|---|---|
Part 1 only (1 day) |
$700 Register here |
$800 Register here |
Part 2 only (2 days) |
$1300 Register here |
$1500 Register here |
Parts 1 & 2 (3 days) |
$1800 Register here |
$2100 Register here |
The course will be at an intermediate level and consists of two parts. Participants have the option of attending only Part 1 or Part 2 or both parts of the course, each with different pricing structures.
Part 1 – Overview of introductory principles of Rasch measurement and the RUMM2030 software. See above for more details.
Part 2 – Rasch Measurement Theory including topics: Theory of social measurement and Rasch models; Revision of Rasch’s model for dichotomous responses and his original work; Multiple choice items and guessing; Understanding the Polytomous Rasch Model; Model fit statistics; Advanced understanding of differential item functioning (DIF); Vertical equating and DIF; Assessing two violations of the assumption of local independence: multidimensionality and response dependence and Facets analysis and analysis of longitudinal data.
Manual Description : Executive Assistant to Professor Jim Tognolini
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