Investigating Item Bias on the PISA 2009 Reading Assessment: A Case of Macau with Chinese and English Versions.

dc.contributor.authorLau, Sok-Han
dc.contributor.departmentEducational Psychology
dc.date.accessioned2019-05-28T19:52:59Z
dc.date.available2019-05-28T19:52:59Z
dc.date.issued2017-05
dc.description.abstractIn recent years, there has been significant increase of regions and countries participating in international large-scale assessments, and this increase is largely due to the extensive information and analysis of the results that are available to the schools, parents, researchers, and educators. Nonetheless, it is questionable whether the results of these international large-scale assessments are reliable, valid, and comparable for different countries. Since most school authorities and educators are interested in using the results of these assessments to enhance the existing school curriculum, educational policy, and program development, the fairness of the assessments and equivalency need to be examined carefully. In this study, a selected sample of the Macau dataset obtained from the Programme for International Student Assessment (PISA) 2009 reading literacy assessment were analyzed to detect potentially biased items using the Mantel-Haenzsel (MH) and item response theory (IRT) methods. Findings indicated that both of the methods commonly identified 5 items that were not working equally across the groups. Limitations and implications were discussed.
dc.identifier.urihttp://hdl.handle.net/10125/62365
dc.languageeng
dc.publisherUniversity of Hawaii at Manoa
dc.subjectProgramme for International Student Assessment
dc.subjectReading comprehension--Evaluation
dc.subjectItem response theory
dc.titleInvestigating Item Bias on the PISA 2009 Reading Assessment: A Case of Macau with Chinese and English Versions.
dc.typeThesis
dc.type.dcmiText
dcterms.descriptionM.Ed. Thesis. University of Hawaiʻi at Mānoa 2017.
dcterms.spatialChina--Macau (Special Administrative Region)

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2017-05-med-lau.pdf
Size:
450.63 KB
Format:
Adobe Portable Document Format