Approaches to data analysis of multiple-choice questions

Approaches to data analysis of multiple-choice questions

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This paper introduces five commonly used approaches to analyzing multiple-choice test data. They are classical test theory, factor analysis, cluster analysis, item response theory, and model analysis. Brief descriptions of the goals and algorithms of these approaches are provided, together with exam...

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Main Authors: Lin Ding, Robert Beichner
Format: Article
Language:English
Published: American Physical Society 2009-09-01
Series:Physical Review Special Topics. Physics Education Research
Online Access:http://link.aps.org/doi/10.1103/PhysRevSTPER.5.020103
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spelling doaj-1d02cc9c29de4da28997dfa06dc39fa92020-11-24T21:26:39ZengAmerican Physical SocietyPhysical Review Special Topics. Physics Education Research1554-91782009-09-0152Approaches to data analysis of multiple-choice questionsLin DingRobert BeichnerThis paper introduces five commonly used approaches to analyzing multiple-choice test data. They are classical test theory, factor analysis, cluster analysis, item response theory, and model analysis. Brief descriptions of the goals and algorithms of these approaches are provided, together with examples illustrating their applications in physics education research. We minimize mathematics, instead placing emphasis on data interpretation using these approaches.http://link.aps.org/doi/10.1103/PhysRevSTPER.5.020103
collection DOAJ
language English
format Article
sources DOAJ
author Lin Ding
Robert Beichner
spellingShingle Lin Ding
Robert Beichner
Approaches to data analysis of multiple-choice questions
Physical Review Special Topics. Physics Education Research
author_facet Lin Ding
Robert Beichner
author_sort Lin Ding
title Approaches to data analysis of multiple-choice questions
title_short Approaches to data analysis of multiple-choice questions
title_full Approaches to data analysis of multiple-choice questions
title_fullStr Approaches to data analysis of multiple-choice questions
title_full_unstemmed Approaches to data analysis of multiple-choice questions
title_sort approaches to data analysis of multiple-choice questions
publisher American Physical Society
series Physical Review Special Topics. Physics Education Research
issn 1554-9178
publishDate 2009-09-01
description This paper introduces five commonly used approaches to analyzing multiple-choice test data. They are classical test theory, factor analysis, cluster analysis, item response theory, and model analysis. Brief descriptions of the goals and algorithms of these approaches are provided, together with examples illustrating their applications in physics education research. We minimize mathematics, instead placing emphasis on data interpretation using these approaches.
url http://link.aps.org/doi/10.1103/PhysRevSTPER.5.020103
work_keys_str_mv AT linding approachestodataanalysisofmultiplechoicequestions
AT robertbeichner approachestodataanalysisofmultiplechoicequestions
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