Overview of introductory principles of Rasch measurement and the RUMM2030 software.
February 2025 - dates to be confirmed
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 Measurement Theory.
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.
This is also an opportunity to study with researchers from UWA and the University of Sydney who have made advancement in all areas of Rasch models for measurement.
The content of the course is based on Andrich, D. & Marais, I. (2019). A Course in Rasch Measurement Theory: Measuring in the Educational, Social and Health Sciences. Springer Texts in Education, Springer: Singapore.
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.
All participants will receive a copy of the new RUMM2030 software valid for six months. Participants are required to bring their own Laptop. Free Wi-Fi is available.