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i-Assess: Evaluating the impact of electronic data capture for OSCE

Overview of attention for article published in Tijdschrift voor Medisch Onderwijs, February 2018
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Title
i-Assess: Evaluating the impact of electronic data capture for OSCE
Published in
Tijdschrift voor Medisch Onderwijs, February 2018
DOI 10.1007/s40037-018-0410-4
Pubmed ID
Authors

Sandra Monteiro, Debra Sibbald, Karen Coetzee

Abstract

Tablet-based assessments offer benefits over scannable-paper assessments; however, there is little known about the impact to the variability of assessment scores. Two studies were conducted to evaluate changes in rating technology. Rating modality (paper vs tablets) was manipulated between candidates (Study 1) and within candidates (Study 2). Average scores were analyzed using repeated measures ANOVA, Cronbach's alpha and generalizability theory. Post-hoc analyses included a Rasch analysis and McDonald's omega. Study 1 revealed a main effect of modality (F (1,152) = 25.06, p < 0.01). Average tablet-based scores were higher, (3.39/5, 95% CI = 3.28 to 3.51), compared with average scan-sheet scores (3.00/5, 95% CI = 2.90 to 3.11). Study 2 also revealed a main effect of modality (F (1, 88) = 15.64, p < 0.01), however, the difference was reduced to 2% with higher scan-sheet scores (3.36, 95% CI = 3.30 to 3.42) compared with tablet scores (3.27, 95% CI = 3.21 to 3.33). Internal consistency (alpha and omega) remained high (>0.8) and inter-station reliability remained constant (0.3). Rasch analyses showed no relationship between station difficulty and rating modality. Analyses of average scores may be misleading without an understanding of internal consistency and overall reliability of scores. Although updating to tablet-based forms did not result in systematic variations in scores, routine analyses ensured accurate interpretation of the variability of assessment scores. This study demonstrates the importance of ongoing program evaluation and data analysis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 12%
Researcher 3 12%
Other 2 8%
Lecturer 2 8%
Lecturer > Senior Lecturer 2 8%
Other 3 12%
Unknown 10 40%
Readers by discipline Count As %
Medicine and Dentistry 4 16%
Psychology 2 8%
Linguistics 1 4%
Agricultural and Biological Sciences 1 4%
Business, Management and Accounting 1 4%
Other 4 16%
Unknown 12 48%