- Abstract:
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This study looked at how three different analysis methods could help us to understand rater effects on exam reliability. The techniques we looked at were:
- generalizability theory (G-theory)
- item response theory (IRT): in particular the Many-Facets Partial Credit Rasch Model (MFRM)
- multilevel modelling (MLM)
We used data from AS component papers in geography and psychology for 2009, 2010 and 2011 from Edexcel.
- Publication status:
- Published
- Version:
- Publisher's version
- Files:
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(pdf, 1.9MB)
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- Publisher:
- Office of Qualifications and Examinations Regulation Publisher's website
- Chapter number:
- Ofqual/13/5261
- Publication date:
- 2013-01-01
- URN:
-
uuid:1dd146f0-31ee-469f-af82-13ad7a674e8e
- Source identifiers:
-
597725
- Local pid:
- pubs:597725
- Copyright holder:
- Crown copyright
- Copyright date:
- 2013
- Notes:
-
Copyright © Crown copyright 2013. You may re-use this publication (not including logos) free of charge in any format or
medium, under the terms of the Open Government Licence. To view this licence,
visit The National Archives; or write to the Information Policy Team, The National
Archives, Kew, Richmond, Surrey, TW9 4DU; or email:
psi@nationalarchives.gsi.gov.uk
Report
Marker effects and examination reliability: A comparative exploration from the perspectives of generalizability theory, Rasch modelling and multilevel modelling
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