gms | German Medical Science

17. Grazer Konferenz – Qualität der Lehre 2013: Teaching Medical Skills

4. - 6. April 2013, Wien, Österreich

Gender Gap in Medical Admission Test

Poster

17. Grazer Konferenz – Qualität der Lehre 2013: Teaching medical skills. Wien, Österreich, 04.-06.04.2013. Düsseldorf: German Medical Science GMS Publishing House; 2013. DocP04

doi: 10.3205/13grako18, urn:nbn:de:0183-13grako181

Veröffentlicht: 29. November 2013

© 2013 Habersack et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielfältigt, verbreitet und öffentlich zugänglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Poster

Introduction: In the scientific discussion about medical college admission processes, differences in the test results of women and men are already portrayed as fact [1], [2]. The results of the medical college admission tests in Austria demonstrate the slightly worse performance of women. As explanatory models for a gender gap are cited: the type of the selected test format, the design of the test items, the scientific orientation in the school of origin, the stereotyping of “hard” natural sciences as male domain, a basic science knowledge gap and the factor of time. In the context of the factor time theory approaches point e.g. to the short answering period available in connection with a multiple choice test or point to the factor of time in the framework of the entire course of medical studies [3], [4], [5]. Until now, the

factor time has rarely been discussed in context of the question, whether the point of time of taking the Medical College Admission Test could imply a decrease of the basic-science knowledge gap.

Aims:

  • To investigate a basic science knowledge gap among female candidates of the admission test at the Medical University of Graz.
  • To investigate whether the point of time of taking the examination has an influence on the test results.

Methods: Observational investigation of the results of the admission test for the study of human medicine and dentistry at the Medical University of Graz, 3405 applicants (over three years) were included in the study. Statistical analyses were performed by routine methods (Chi-square test, Student’s t test) using STATA 11 software (StataCorp. LP, College Station, TX, USA).

Results: A clear trend to increasing gender gap according to the order

1.
Biology,
2.
Chemistry,
3.
Mathematics,
4.
Physics is noticeable: Austrian women perform particularly worse in physics.

In biology, the difference between female and male Austrian applicants is smaller, but still statistically significant. Men as well as women improved their results when they passed the admission test one year after completing their secondary education. The improvement of performance in women was so pronounced that the gender gap (significant in the group who took the admission test during the year they were completing their secondary education) could not be substantiated in this group.

Discussion: A basic science knowledge gap in the Austrian applicants can be confirmed. Similarly, the variable time can be interpreted as an opportunity for the reduction of a basic science knowledge gap. It has to be assumed, however, that not time per se is responsible for the minimization of the gender gap in the test results, but the approximation to equally prepared applicants.


References

1.
Fields HW, Fields AM, Beck FM. The Impact Of Gender On High-Stakes Dental Evaluations. J Dent Educ. 2003;67(6):654-660.
2.
Callahan CA, Hojat M, Veloski J, Erdmann JB, Gonnella JS. The Predictive Validity Of Three Versions Of The Mcat In Relation To Performance In Medical School, Residency, And Licensing Examinations: A Longitudinal Study Of 36 Classes Of Jefferson Medical College. Acad Med. 2010;85(6):980-987. DOI: 10.1097/ACM.0b013e3181cece3d Externer Link
3.
Cuddy MM, Swanson DB, Clauser BE. A Multilevel Analysis Of Examinee Gender And USMLE Step 1 Performance. Acad Med. 2008;83(10 Suppl):S58-62. DOI: 10.1097/ACM.0b013e318183cd65 Externer Link
4.
Sternberg RJ. College Admissions: Beyond Conventional Testing. Change. 2012;44:6-13. DOI: 10.1080/00091383.2012.706534 Externer Link
5.
Schwank I. Zur Analyse Kognitiver Mechanismen Mathematischer Begriffsbildung Unter Geschlechtsspezifischem Aspekt. Zentralbl Didakt Math. 1994:31-40.