Presentation
Investigating stability of item parameters in one and two-parameter partial credit models on PISA Science cognitive data
Paper presented at the European Conference on Educational Research
(2015)
Abstract
This study focuses on investigating the stability of item parameter estimates from partial credit model (PCM) and generalised partial credit model (GPCM) respectively, by the test form booklets across the country and language groups used in the PISA study (Programme for International Student Achievement). From that, it could suggest whether the item discrimination parameter should be needed in the item calibration model for large and heterogeneous samples of an international test like PISA, particularly for PISA Science 2015.
Keywords
- PISA,
- Partial credit model,
- Generalized partial credit model,
- Item discrimination parameter
Disciplines
Publication Date
September, 2015
Citation Information
Luc T Le. "Investigating stability of item parameters in one and two-parameter partial credit models on PISA Science cognitive data" Paper presented at the European Conference on Educational Research (2015) Available at: http://works.bepress.com/luc_le/30/