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Investigating Stability Of Item Parameters In One And Two-Parameter Partial Credit Models On Pisa Science Cognitive Data, Luc T. Le
Dr Luc Tu Le
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.
Gamsat: A 10-Year Retrospective Overview, With Detailed Analysis Of Candidates¿ Performance In 2014, Annette Mercer, Brendan Crotty, Louise Alldridge, Luc Le, Veronica Vele
Gamsat: A 10-Year Retrospective Overview, With Detailed Analysis Of Candidates¿ Performance In 2014, Annette Mercer, Brendan Crotty, Louise Alldridge, Luc Le, Veronica Vele
Dr Luc Tu Le
Background: The Graduate Australian Medical Schools Admission Test (GAMSAT) is undertaken annually in centres around Australia and a small number of overseas locations. Most Australian graduate entry medical schools also use Grade Point Average and interview score for selection. The aim of this study was to review the performance of the GAMSAT over the last 10 years; the study provides an analysis of the impact of candidates’ gender, age, language background, level of academic qualification and background discipline on performance; and details on the performance of higher-scoring candidates. These analyses were undertaken on the 2014 data; and trends in the …