1983
DOI: 10.1119/1.13186
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Constructing objective tests

Abstract: True–false or multiple-choice tests can be useful instruments for evaluating student progress. We examine strategies for planning objective tests which serve to test the material covered in science (physics) courses. We also examine strategies for writing questions for tests within a test blueprint. The statistical basis for judging the quality of test items are discussed. Reliability, difficulty, and discrimination indices are defined and examples presented. Our recommendation are rather easily put into pract… Show more

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Cited by 35 publications
(74 citation statements)
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“…The reliability coefficient [7]  for the survey is 0.87 which is reasonably good from the standards of test design. The item difficulty of each question (percentage of students who correctly answered each question), shown in Fig.…”
Section: The Survey Resultsmentioning
confidence: 74%
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“…The reliability coefficient [7]  for the survey is 0.87 which is reasonably good from the standards of test design. The item difficulty of each question (percentage of students who correctly answered each question), shown in Fig.…”
Section: The Survey Resultsmentioning
confidence: 74%
“…The PBD approximately ranged from 0.2 to 0.6 with half of the questions with PBD higher than 0.4 and two items with PBD lower than 0.2. The standards of test design [7] indicate that the QMS questions have reasonably good PBD. The average score for the upper-level undergraduate class that used the concept tests and the QuILTs throughout the semester was 71.8% at the end of the first semester in which all of the relevant concepts were covered and 74.9% at the end of the second semester of QM.…”
Section: The Survey Resultsmentioning
confidence: 99%
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