Optimal correction for guessing in multiple-choice tests
نویسندگان
چکیده
منابع مشابه
Optimal Correction for Guessing in Multiple-Choice Tests
MCQ examinations are frequently used but there is no consensus as to whether a penalty for wrong answers should be used or not. For example, in some countries examinations for medical licensing include MCQ sections with penalty while in others there is no penalty for wrong answers. We contribute to this discussion with the analysis of the effects of penalties. In a partial knowledge model there...
متن کاملGuessing in Multiple Choice Questions: Challenges and Strategies
Introduction: Guessing is one of the most challenging issues in multiple choice questions. Several strategies, such as negative scoring, have been suggested for preventing students from choosing the right answer just by chance. However, there is no general agreement on using such strategies. The aim of this study was to review the scoring methods which are used for reducing guessing, and evalua...
متن کاملGuessing, Partial Knowledge, and Misconceptions in Multiple-Choice Tests
The number right (NR) method, in which students pick one option as the answer, is the conventional method for scoring multiple-choice tests that is heavily criticized for encouraging students to guess and failing to credit partial knowledge. In addition, computer technology is increasingly used in classroom assessment. This paper investigates the effect of computer-adaptive assessment software ...
متن کاملThe Impact of Correction for Guessing Formula on MC and Yes/No Vocabulary Tests' Scores
A standard correction for random guessing (cfg) formula on multiple-choice and Yes/Noexaminations was examined retrospectively in the scores of the intermediate female EFL learners in an English language school. The correctionwas a weighting formula for points awarded for correct answers,incorrect answers, and unanswered questions so that the expectedvalue of the increase in test score due to g...
متن کاملCorrecting for guessing on multiple-choice exams.
simulation method (bootstrapping) was used by the authors to estimate the parameters for the statistical test of this hypothesis. Parameters (unspecified) of the bootstrap model are critical because of lack of independence among the four examinations (across the same students) and lack of independence among the corrected and uncorrected multiple-choice tests (across the same criterion variable)...
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ژورنال
عنوان ژورنال: Journal of Mathematical Psychology
سال: 2010
ISSN: 0022-2496
DOI: 10.1016/j.jmp.2010.06.001