Phys. Rev. ST Phys. Educ. Res. 5, 020103 (2009) [17 pages]Approaches to data analysis of multiple-choice questions
Lin Ding1 and Robert Beichner2 Received 12 February 2009; published 10 September 2009 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. ©2009 The American Physical Society
URL: http://link.aps.org/doi/10.1103/PhysRevSTPER.5.020103 [ Abstract | Previous article | Next article | Issue 2 ] |
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