Document Detail

A comparative analysis of the ratings in performance assessment using generalizability theory and the many-facet Rasch model.
MedLine Citation:
PMID:  19934528     Owner:  NLM     Status:  MEDLINE    
The purpose of this study is to compare two different methods for modeling rater effects in performance assessment: Generalizability (G) Theory and the Many-facet Rasch Model (MFRM). The view that G theory and the MFRM are alternative solutions to the same measurement problem, in particular, rater effects, is seen to be only partially true. G theory provides a general summary including an estimation of the relative influence of each facet on a measure and the reliability of a decision based on the data. MFRM concentrates on the individual examinee or rater and provides as fair a measure as it is possible to derive from the data as well as summary information such as reliability indices and ways to express the relative influence of the facets. These conclusions are illustrated using data for ratings of student writing assessments.
Sungsook C Kim; Mark Wilson
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Journal of applied measurement     Volume:  10     ISSN:  1529-7713     ISO Abbreviation:  J Appl Meas     Publication Date:  2009  
Date Detail:
Created Date:  2009-11-25     Completed Date:  2010-01-28     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101084377     Medline TA:  J Appl Meas     Country:  United States    
Other Details:
Languages:  eng     Pagination:  408-23     Citation Subset:  IM    
Korea Institute for Curriculum and Evaluation, Seoul 110-230, Korea.
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MeSH Terms
Data Interpretation, Statistical
Educational Measurement / statistics & numerical data*
Models, Statistical*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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