View in EDS PDF Full Text

Joining the Conversation: Predictors of Success on the United States Medical Licensing Examinations (USMLE)

Saved in:
Bibliographic Details
Title: Joining the Conversation: Predictors of Success on the United States Medical Licensing Examinations (USMLE)
Language: English
Authors: Gohara, Sabry, Shapiro, Joseph I., Jacob, Adam N., Khuder, Sadik A., Gandy, Robyn A., Metting, Patricia J., Gold, Jeffrey, Kleshinski, James, James Kleshinski
Source: Learning Assistance Review. Spr 2011 16(1):11-20.
Availability: National College Learning Center Association. Web site: http://www.nclca.org/tlar.htm
Peer Reviewed: Y
Page Count: 10
Publication Date: 2011
Document Type: Journal Articles
Reports - Research
Descriptors: Medical Education, Medical Students, Required Courses, Medical Schools, Licensing Examinations (Professions), Regression (Statistics), Certification, College Admission, Models, Scores, Evaluation, Academic Achievement, Predictor Variables, Colleges
Geographic Terms: United States
Assessment and Survey Identifiers: Medical College Admission Test, United States Medical Licensing Examination
ISSN: 1087-0059
Abstract: The purpose of this study was to evaluate whether models based on pre-admission testing, including performance on the Medical College Admission Test (MCAT), performance on required courses in the medical school curriculum, or a combination of both could accurately predict performance of medical students on the United States Medical Licensing Examination (USMLE) Steps 1 and 2. Models were produced using stepwise linear regression and feed forward neural networks. Notable accuracy in predicting Step 1 and Step 2 scores were achieved from models integrating pre-admission variables with medical school coursework grades. Of interest, the coursework grades contributed far greater to these models than the pre-admission variables except the MCAT. (Contains 2 tables.)
Abstractor: As Provided
Number of References: 13
Entry Date: 2011
Access URL: https://www.nclca.org/tlar.html
Accession Number: EJ919575
Database: ERIC
FullText Links:
  – Type: pdflink
    Url: https://content.ebscohost.com/cds/retrieve?content=AQICAHj0k_4E0hTGH8RJwT4gCJyBsGNe_WN95AvKlDbXJGqwxwGzvGQCZkqEpsue1y56eJ8CAAAA4TCB3gYJKoZIhvcNAQcGoIHQMIHNAgEAMIHHBgkqhkiG9w0BBwEwHgYJYIZIAWUDBAEuMBEEDEZ013i--Q4Qihk3QAIBEICBmckEia_iVzrPrrMnp26iL_YxhNLI8CxiwNxidUilTZOnZNthaAqGoOf76Rqj4f3OJD0bdxtDmqc6A0en-xkOBnwou7CeoUcBEFldzdIdZHXt0ofSt0g3WiO5w7rKUho-zLPGWObZOGrOekQ0JfmMsL1Pc2ZH5rzDfarlumr_H2j9Y1kMizSbZH4RJ4xHapLqKhJVUG9b6ADGaw==
Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ919575
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: EJ919575
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Joining the Conversation: Predictors of Success on the United States Medical Licensing Examinations (USMLE)
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Gohara%2C+Sabry%22">Gohara, Sabry</searchLink><br /><searchLink fieldCode="AR" term="%22Shapiro%2C+Joseph+I%2E%22">Shapiro, Joseph I.</searchLink><br /><searchLink fieldCode="AR" term="%22Jacob%2C+Adam+N%2E%22">Jacob, Adam N.</searchLink><br /><searchLink fieldCode="AR" term="%22Khuder%2C+Sadik+A%2E%22">Khuder, Sadik A.</searchLink><br /><searchLink fieldCode="AR" term="%22Gandy%2C+Robyn+A%2E%22">Gandy, Robyn A.</searchLink><br /><searchLink fieldCode="AR" term="%22Metting%2C+Patricia+J%2E%22">Metting, Patricia J.</searchLink><br /><searchLink fieldCode="AR" term="%22Gold%2C+Jeffrey%22">Gold, Jeffrey</searchLink><br /><searchLink fieldCode="AR" term="%22Kleshinski%2C+James%22">Kleshinski, James</searchLink><br /><searchLink fieldCode="AR" term="%22James+Kleshinski%22">James Kleshinski</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Learning+Assistance+Review%22"><i>Learning Assistance Review</i></searchLink>. Spr 2011 16(1):11-20.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: National College Learning Center Association. Web site: http://www.nclca.org/tlar.htm
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 10
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2011
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Medical+Education%22">Medical Education</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+Students%22">Medical Students</searchLink><br /><searchLink fieldCode="DE" term="%22Required+Courses%22">Required Courses</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+Schools%22">Medical Schools</searchLink><br /><searchLink fieldCode="DE" term="%22Licensing+Examinations+%28Professions%29%22">Licensing Examinations (Professions)</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+%28Statistics%29%22">Regression (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Certification%22">Certification</searchLink><br /><searchLink fieldCode="DE" term="%22College+Admission%22">College Admission</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Scores%22">Scores</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation%22">Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Achievement%22">Academic Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Predictor+Variables%22">Predictor Variables</searchLink><br /><searchLink fieldCode="DE" term="%22Colleges%22">Colleges</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
– Name: SubjectThesaurus
  Label: Assessment and Survey Identifiers
  Group: Su
  Data: <searchLink fieldCode="SU" term="%22Medical+College+Admission+Test%22">Medical College Admission Test</searchLink><br /><searchLink fieldCode="SU" term="%22United+States+Medical+Licensing+Examination%22">United States Medical Licensing Examination</searchLink>
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 1087-0059
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The purpose of this study was to evaluate whether models based on pre-admission testing, including performance on the Medical College Admission Test (MCAT), performance on required courses in the medical school curriculum, or a combination of both could accurately predict performance of medical students on the United States Medical Licensing Examination (USMLE) Steps 1 and 2. Models were produced using stepwise linear regression and feed forward neural networks. Notable accuracy in predicting Step 1 and Step 2 scores were achieved from models integrating pre-admission variables with medical school coursework grades. Of interest, the coursework grades contributed far greater to these models than the pre-admission variables except the MCAT. (Contains 2 tables.)
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: Ref
  Label: Number of References
  Group: RefInfo
  Data: 13
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2011
– Name: URL
  Label: Access URL
  Group: URL
  Data: <link linkTarget="URL" linkTerm="https://www.nclca.org/tlar.html" linkWindow="_blank">http://www.nclca.org/tlar.html</link>
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ919575
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ919575
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 11
    Subjects:
      – SubjectFull: Medical Education
        Type: general
      – SubjectFull: Medical Students
        Type: general
      – SubjectFull: Required Courses
        Type: general
      – SubjectFull: Medical Schools
        Type: general
      – SubjectFull: Licensing Examinations (Professions)
        Type: general
      – SubjectFull: Regression (Statistics)
        Type: general
      – SubjectFull: Certification
        Type: general
      – SubjectFull: College Admission
        Type: general
      – SubjectFull: Models
        Type: general
      – SubjectFull: Scores
        Type: general
      – SubjectFull: Evaluation
        Type: general
      – SubjectFull: Academic Achievement
        Type: general
      – SubjectFull: Predictor Variables
        Type: general
      – SubjectFull: Colleges
        Type: general
      – SubjectFull: United States
        Type: general
      – SubjectFull: Medical College Admission Test
        Type: general
      – SubjectFull: United States Medical Licensing Examination
        Type: general
    Titles:
      – TitleFull: Joining the Conversation: Predictors of Success on the United States Medical Licensing Examinations (USMLE)
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gohara, Sabry
      – PersonEntity:
          Name:
            NameFull: Shapiro, Joseph I.
      – PersonEntity:
          Name:
            NameFull: Jacob, Adam N.
      – PersonEntity:
          Name:
            NameFull: Khuder, Sadik A.
      – PersonEntity:
          Name:
            NameFull: Gandy, Robyn A.
      – PersonEntity:
          Name:
            NameFull: Metting, Patricia J.
      – PersonEntity:
          Name:
            NameFull: Gold, Jeffrey
      – PersonEntity:
          Name:
            NameFull: Kleshinski, James
      – PersonEntity:
          Name:
            NameFull: James Kleshinski
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2011
          Identifiers:
            – Type: issn-print
              Value: 1087-0059
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Learning Assistance Review
              Type: main
ResultId 1