Investigating stability of item parameters in one and two-parameter partial credit models on PISA Science cognitive data

Luc T Le

Investigating stability of item parameters in one and two-parameter partial credit models on PISA Science cognitive data

Research output: Contribution to conference › Presentation

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.

Original language	English
Publication status	Published - Sept 2015
Externally published	Yes
Event	Paper presented at the European Conference on Educational Research - Duration: 1 Sept 2015 → …

Conference

Conference	Paper presented at the European Conference on Educational Research
Period	1/09/15 → …

Keywords

Generalized partial credit model
Item discrimination parameter
PISA
Partial credit model

Disciplines

Educational Assessment, Evaluation, and Research

Access to Document

https://bepress-attached-resources.s3.amazonaws.com/uploads/f7/a3/97/f7a397d5-e81a-4743-8852-ca1dcbd477d0/fulltext.pdf

Cite this

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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.",

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AB - 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.

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M3 - Presentation

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