When your data doesn't fit: Investigating comparability across language versions of PIRLS 2016 in South Africa
All welcome to join in person.
This research initially set out to investigate comparability across three of the eleven language versions of the PIRLS 2016 reading test in South Africa. The original aim was to understand if the test presented a comparable level of difficulty for students taking the test in different languages using an Item Response Theory (IRT) based approach. However, initial analyses undertaken to establish model fit and check assumptions before conducting the planned IRT analysis exposed issues that went beyond comparability. This presentation discusses the challenges faced when ‘traditional’ model fit could not be established, the consequences of using data that deviates from expected patterns, and the next steps taken in this investigation of PIRLS 2016 in South Africa.
Date: 12 June 2023, 12:45 (Monday, 8th week, Trinity 2023)
Venue: 15 Norham Gardens, 15 Norham Gardens OX2 6PY
Venue Details: Seminar Room D
Speaker: Heather Kayton (University of Oxford)
Organising department: Department of Education
Organiser: Dr Ariel Lindorff (University of Oxford)
Part of: Quantitative Methods Hub - Seminar Programme TT 2023
Booking required?: Required
Booking url: https://us02web.zoom.us/meeting/register/tZwtde6hqTgsHdKSIt0KvwvX--8L5ctgHfm5
Audience: Members of the University only
Editors: Nicole Harris, Hannah Freeman, Heather Sherkunov