| Variables that may enhance medical students' perceived preparedness for computer-based testing. | |
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MedLine Citation:
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PMID: 10984466 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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D C Lynch; T W Whitley; D A Emmerling; J E Brinn |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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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:
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Created Date: 2000-10-16 Completed Date: 2000-10-16 Revised Date: 2013-04-17 |
Medline Journal Info:
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Nlm Unique ID: 9430800 Medline TA: J Am Med Inform Assoc Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 469-74 Citation Subset: IM |
Affiliation:
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East Carolina University, Greenville, North Carolina, USA. dlynch@med-scape.com |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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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 |
| Comments/Corrections | |
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