Approaches to data analysis of multiple-choice questions
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2009-09-01
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| Series: | Physical Review Special Topics. Physics Education Research |
| Online Access: | http://link.aps.org/doi/10.1103/PhysRevSTPER.5.020103 |
| _version_ | 1818691535499165696 |
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| author | Lin Ding Robert Beichner |
| author_facet | Lin Ding Robert Beichner |
| author_sort | Lin Ding |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-17T12:43:26Z |
| format | Article |
| id | doaj.art-1d02cc9c29de4da28997dfa06dc39fa9 |
| institution | Directory Open Access Journal |
| issn | 1554-9178 |
| language | English |
| last_indexed | 2024-12-17T12:43:26Z |
| publishDate | 2009-09-01 |
| publisher | American Physical Society |
| record_format | Article |
| series | Physical Review Special Topics. Physics Education Research |
| spelling | doaj.art-1d02cc9c29de4da28997dfa06dc39fa92022-12-21T21:47:50ZengAmerican 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 |
| spellingShingle | Lin Ding Robert Beichner Approaches to data analysis of multiple-choice questions Physical Review Special Topics. Physics Education Research |
| title | 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_short | Approaches to data analysis of multiple-choice questions |
| title_sort | approaches to data analysis of multiple choice questions |
| url | http://link.aps.org/doi/10.1103/PhysRevSTPER.5.020103 |
| work_keys_str_mv | AT linding approachestodataanalysisofmultiplechoicequestions AT robertbeichner approachestodataanalysisofmultiplechoicequestions |