Literature DB >> 10536635

Evaluating the usefulness of computerized adaptive testing for medical in-course assessment.

C D Kreiter1, K Ferguson, L D Gruppen.   

Abstract

PURPOSE: This study investigated the feasibility of converting an existing computer-administered, in-course internal medicine test to an adaptive format.
METHOD: A 200-item internal medicine extended matching test was used for this research. Parameters were estimated with commercially available software with responses from 621 examinees. A specially developed simulation program was used to retrospectively estimate the efficiency of the computer-adaptive exam format.
RESULTS: It was found that the average test length could be shortened by almost half with measurement precision approximately equal to that of the full 200-item paper-and-pencil test. However, computer-adaptive testing with this item bank provided little advantage for examinees at the upper end of the ability continuum. An examination of classical item statistics and IRT item statistics suggested that adding more difficult items might extend the advantage to this group of examinees.
CONCLUSIONS: Medical item banks presently used for incourse assessment might be advantageously employed in adaptive testing. However, it is important to evaluate the match between the items and the measurement objective of the test before implementing this format.

Mesh:

Year:  1999        PMID: 10536635     DOI: 10.1097/00001888-199910000-00016

Source DB:  PubMed          Journal:  Acad Med        ISSN: 1040-2446            Impact factor:   6.893


  8 in total

Review 1.  Using computers for assessment in medicine.

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Journal:  BMJ       Date:  2004-09-11

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3.  Relative precision, efficiency and construct validity of different starting and stopping rules for a computerized adaptive test: the GAIN substance problem scale.

Authors:  Barth B Riley; Kendon J Conrad; Nikolaus Bezruczko; Michael L Dennis
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4.  Pathology Resident Evaluation During the Pandemic: Testing and Implementation of a Comprehensive Online Pathology Exam.

Authors:  Susan M Armstrong; Paula Nixon; Carlo V Hojilla
Journal:  Acad Pathol       Date:  2021-05-11

5.  Guidelines for the construction of multiple choice questions tests.

Authors:  Mohammed O Al-Rukban
Journal:  J Family Community Med       Date:  2006-09

6.  Does medical students' preference of test format (computer-based vs. paper-based) have an influence on performance?

Authors:  Achim Hochlehnert; Konstantin Brass; Andreas Moeltner; Jana Juenger
Journal:  BMC Med Educ       Date:  2011-10-25       Impact factor: 2.463

7.  Using item response theory to explore the psychometric properties of extended matching questions examination in undergraduate medical education.

Authors:  Bipin Bhakta; Alan Tennant; Mike Horton; Gemma Lawton; David Andrich
Journal:  BMC Med Educ       Date:  2005-03-07       Impact factor: 2.463

8.  Key Points to Facilitate the Adoption of Computer-Based Assessments.

Authors:  S A Burr; A Chatterjee; S Gibson; L Coombes; S Wilkinson
Journal:  J Med Educ Curric Dev       Date:  2016-06-15
  8 in total

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