Document Detail


Variables that may enhance medical students' perceived preparedness for computer-based testing.
MedLine Citation:
PMID:  10984466     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: To identify variables that may enhance medical student's preparedness for computer-based administration of the United States Medical Licensing Examination (USMLE).
DESIGN: A cross-sectional survey of 301 medical students who completed a self-administered questionnaire.
MEASUREMENTS: The questionnaire was designed to obtain information about students' computer resources, personal experience with computers, computer expertise, opinions about computers, experience with computer-based testing, perceived preparedness for the computer-based USMLE, and demographic variables. Variables related to students' perceived preparedness for the computer-based USMLE were identified by ordinal logistic regression.
RESULTS: A significant regression model yielded four significant predictors: perceived preparedness for USMLE content (P: < 0.0001), opinions about computers (P: < 0.0012), gender (P: < 0.0001), and a gender by computer-based testing experience interaction (P: < 0. 0004). Computer resources, personal experience with computers, computer expertise, age, race, and year of medical school were not significant predictors.
CONCLUSION: Students' perceived preparedness for computer-based administration of high-stakes examinations may be facilitated by preparing them for examination content, by enhancing their opinions about computers, and by increasing their computer-based testing experiences.
Authors:
D C Lynch; T W Whitley; D A Emmerling; J E Brinn
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of the American Medical Informatics Association : JAMIA     Volume:  7     ISSN:  1067-5027     ISO Abbreviation:  J Am Med Inform Assoc     Publication Date:    2000 Sep-Oct
Date Detail:
Created Date:  2000-10-16     Completed Date:  2000-10-16     Revised Date:  2013-04-17    
Medline Journal Info:
Nlm Unique ID:  9430800     Medline TA:  J Am Med Inform Assoc     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  469-74     Citation Subset:  IM    
Affiliation:
East Carolina University, Greenville, North Carolina, USA. dlynch@med-scape.com
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MeSH Terms
Descriptor/Qualifier:
Attitude to Computers
Computer Literacy*
Computer User Training
Continental Population Groups
Cross-Sectional Studies
Educational Measurement / methods*
Female
Humans
Licensure, Medical
Logistic Models
Male
Questionnaires
Sex Factors
Students, Medical* / psychology
United States
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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