We present a simple technique for evaluating multiple-choice questions and their answers beyond the usual measures of difficulty and the effectiveness of distractors. The technique involves the construction and qualitative consideration of item response curves and is based on item response theory from the field of education measurement. To demonstrate the technique, we apply item response curve analysis to three questions from the Force Concept Inventory. Item response curve analysis allows us to characterize qualitatively whether these questions are efficient, where efficient is defined in terms of the construction, performance, and discrimination of a question and its answer choices. This technique can be used to develop future multiple-choice examination questions and a better understanding of results from existing diagnostic instruments.
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PHYSICS EDUCATION RESEARCH|
May 01 2006
Testing the test: Item response curves and test quality Available to Purchase
Gary A. Morris;
Gary A. Morris
Department of Physics and Astronomy,
Valparaiso University
, Valparaiso, Indiana 46383
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Lee Branum-Martin;
Lee Branum-Martin
Texas Institute for Measurement, Evaluation, and Statistics,
University of Houston
, Houston, Texas 77204
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Nathan Harshman;
Nathan Harshman
Department of Computer Science, Audio Technology, and Physics,
American University
, Washington, DC 20016
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Stephen D. Baker;
Stephen D. Baker
Department of Physics and Astronomy,
Rice University
, Houston, Texas 77251
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Eric Mazur;
Eric Mazur
Division of Engineering and Applied Sciences,
Harvard University
, Cambridge, Massachusetts 02138
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Suvendra Dutta;
Suvendra Dutta
Division of Engineering and Applied Sciences,
Harvard University
, Cambridge, Massachusetts 02138
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Taha Mzoughi;
Taha Mzoughi
Department of Physics and Astronomy,
Mississippi State University
, Mississippi 39762 and College of Science and Mathematics, Kennesaw State University
, Kennesaw, Georgia 30144
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Veronica McCauley
Veronica McCauley
National University of Ireland
, Galway, Ireland
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Gary A. Morris
Department of Physics and Astronomy,
Valparaiso University
, Valparaiso, Indiana 46383
Lee Branum-Martin
Texas Institute for Measurement, Evaluation, and Statistics,
University of Houston
, Houston, Texas 77204
Nathan Harshman
Department of Computer Science, Audio Technology, and Physics,
American University
, Washington, DC 20016
Stephen D. Baker
Department of Physics and Astronomy,
Rice University
, Houston, Texas 77251
Eric Mazur
Division of Engineering and Applied Sciences,
Harvard University
, Cambridge, Massachusetts 02138
Suvendra Dutta
Division of Engineering and Applied Sciences,
Harvard University
, Cambridge, Massachusetts 02138
Taha Mzoughi
Department of Physics and Astronomy,
Mississippi State University
, Mississippi 39762 and College of Science and Mathematics, Kennesaw State University
, Kennesaw, Georgia 30144
Veronica McCauley
National University of Ireland
, Galway, IrelandAm. J. Phys. 74, 449–453 (2006)
Article history
Received:
September 19 2005
Accepted:
January 20 2006
Citation
Gary A. Morris, Lee Branum-Martin, Nathan Harshman, Stephen D. Baker, Eric Mazur, Suvendra Dutta, Taha Mzoughi, Veronica McCauley; Testing the test: Item response curves and test quality. Am. J. Phys. 1 May 2006; 74 (5): 449–453. https://doi.org/10.1119/1.2174053
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