Professor emeritus David Andrich is a highly regarded assessment specialist from the University of Western Australia. He is particularly renowned for his expertise in Rasch measurement theory, a mathematical framework used to analyze and interpret data from tests and surveys. Andrich has worked with the famous mathematician Georg Rasch, and his contributions to the field have been widely recognized.
"Identifying a mode of growth governing achievement in reading and mathematics at both the individual and group levels"
Key points:
Rasch formulated a meta-metre that governed the growth of all individuals
In the meta-metre, the growth of individuals is linear and varies among individuals
Meta-metres of growth across a range of eight years are shown for reading and mathematics tests
Three questions to David Andrich
What first sparked your interest in modern test theory?
"I had a degree in mathematics and mathematics applied to classical physics. Measurement is an integral part of physics. Later I learned classical test theory, but it had no connection to measurement in physics. Rasch measurement theory applied to the social sciences connected to what I had learned about measurement in physics."
How does Rasch measurement theory differ from other measurement theories?
"Classical test, and item response, and representational measurement theories, are theories only in the sense of a body of coherent knowledge and principles. They are not scientific theories in the sense of explaining measurement. Rasch measurement theory does. In particular in relation to classical and item response theories, the case for the models of the theory are a-priori to any study of data."
What can attendees expect to learn from your upcoming lectures, and how might they benefit from attending?
"In addition to learning about Rasch measurement theory, they will learn to use software that operationalises the theory for analysis of questionnaire and educational and psychological test data. They will learn how to assess, in a detailed, diagnostic way, the degree to which their questionnaires or tests produce measurements, and where any problems are present. "