Literature DB >> 8736189

Computerized long-menu questions as an alternative to open-ended questions in computerized assessment.

L W Schuwirth1, C P van der Vleuten, H E Stoffers, A G Peperkamp.   

Abstract

To optimally avoid cueing effects and computer scoring problems in computerized examinations a computerized long-menu question (CLM) was developed. This question type was compared to open-ended questions in one treatment group and to multiple-choice questions in another treatment group. Also, scores were compared to self-perceived computer anxiety of the participants. CLMs yield comparable scores to open-ended questions, but the scores differ significantly from those on multiple-choice tests. Correlations in the first comparison (CLMs with multiple-choice) were higher than those in the second camparison (CLMs with open-ended questions). The amount of positive and negative cueing was considerably higher in the first than in the second comparison. Response times of CLMs were higher than those of multiple-choice questions and open-ended questions, differing significantly from both. Computer anxiety did not influence the mean scores in either comparison. Therefore, in computerized testing CLMs seem to offer an acceptable replacement of open-ended questions.

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Year:  1996        PMID: 8736189     DOI: 10.1111/j.1365-2923.1996.tb00717.x

Source DB:  PubMed          Journal:  Med Educ        ISSN: 0308-0110            Impact factor:   6.251


  4 in total

1.  Comparison between Long-Menu and Open-Ended Questions in computerized medical assessments. A randomized controlled trial.

Authors:  Thomas Rotthoff; Thomas Baehring; Hans-Dieter Dicken; Urte Fahron; Bernd Richter; Martin R Fischer; Werner A Scherbaum
Journal:  BMC Med Educ       Date:  2006-10-10       Impact factor: 2.463

2.  Long-menu questions in computer-based assessments: a retrospective observational study.

Authors:  Bernard Cerutti; Katherine Blondon; Annick Galetto
Journal:  BMC Med Educ       Date:  2016-02-09       Impact factor: 2.463

3.  Validation and perception of a key feature problem examination in neurology.

Authors:  Meike Grumer; Peter Brüstle; Johann Lambeck; Silke Biller; Jochen Brich
Journal:  PLoS One       Date:  2019-10-18       Impact factor: 3.240

4.  Adding to the debate on the numbers of options for MCQs: the case for not being limited to MCQs with three, four or five options.

Authors:  Mike Tweed
Journal:  BMC Med Educ       Date:  2019-09-14       Impact factor: 2.463

  4 in total

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