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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 Aug 2015

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.


Acer Research Conference Proceedings (2015), Acer Aug 2015

Acer Research Conference Proceedings (2015), Acer

2009 - 2019 ACER Research Conferences

It is indeed timely that Research Conference 2015 addresses the theme Learning Assessments: Designing the future. It is six years since our Research Conference considered issues in assessment, and the landscape is being significantly transformed. Not only is Australia’s school curriculum changing, but related issues of teaching quality and assessment practice are hot topics here and in many other countries. This transforming landscape includes changes in thinking about the fundamental purposes of assessment; growing demands for the assessment of a broader range of student skills and capabilities; and new technologies that allow us to gather and visualise information about student …


A Review Of International Large-Scale Assessments In Education: Assessing Component Skills And Collecting Contextual Data, John Cresswell, Ursula Schwantner, Charlotte Waters Jan 2015

A Review Of International Large-Scale Assessments In Education: Assessing Component Skills And Collecting Contextual Data, John Cresswell, Ursula Schwantner, Charlotte Waters

OECD Programme for International Student Assessment (PISA)

The OECD has initiated PISA for Development (PISA-D) in response to the rising need of developing countries to collect data about their education systems and the capacity of their student bodies. This report aims to compare and contrast approaches regarding the instruments that are used to collect data on (a) component skills and cognitive instruments, (b) contextual frameworks, and (c) the implementation of the different international assessments, as well as approaches to include children who are not at school, and the ways in which data are used. It then seeks to identify assessment practices in these three areas that will …