Literature DB >> 26659707

Medical University admission test: a confirmatory factor analysis of the results.

Marion Luschin-Ebengreuth1, Hans P Dimai1, Daniel Ithaler2, Heide M Neges2, Gilbert Reibnegger3.   

Abstract

BACKGROUND: The Graz Admission Test has been applied since the academic year 2006/2007. The validity of the Test was demonstrated by a significant improvement of study success and a significant reduction of dropout rate. The purpose of this study was a detailed analysis of the internal correlation structure of the various components of the Graz Admission Test. In particular, the question investigated was whether or not the various test parts constitute a suitable construct which might be designated as "Basic Knowledge in Natural Science."
METHODS: This study is an observational investigation, analyzing the results of the Graz Admission Test for the study of human medicine and dentistry. A total of 4741 applicants were included in the analysis. Principal component factor analysis (PCFA) as well as techniques from structural equation modeling, specifically confirmatory factor analysis (CFA), were employed to detect potential underlying latent variables governing the behavior of the measured variables.
RESULTS: PCFA showed good clustering of the science test parts, including also text comprehension. A putative latent variable "Basic Knowledge in Natural Science," investigated by CFA, was indeed shown to govern the response behavior of the applicants in biology, chemistry, physics, and mathematics as well as text comprehension. The analysis of the correlation structure of the various test parts confirmed that the science test parts together with text comprehension constitute a satisfactory instrument for measuring a latent construct variable "Basic Knowledge in Natural Science."
CONCLUSIONS: The present results suggest the fundamental importance of basic science knowledge for results obtained in the framework of the admission process for medical universities.

Entities:  

Keywords:  Basic Knowledge in Natural Science; Confirmatory factor analysis; Latent construct variable; Medical university admission test

Mesh:

Year:  2015        PMID: 26659707     DOI: 10.1007/s00508-015-0911-7

Source DB:  PubMed          Journal:  Wien Klin Wochenschr        ISSN: 0043-5325            Impact factor:   1.704


  21 in total

1.  Use of situational judgment tests to predict job performance: a clarification of the literature.

Authors:  M A McDaniel; F P Morgeson; E B Finnegan; M A Campion; E P Braverman
Journal:  J Appl Psychol       Date:  2001-08

Review 2.  Assessing personal qualities in medical school admissions.

Authors:  Mark A Albanese; Mikel H Snow; Susan E Skochelak; Kathryn N Huggett; Philip M Farrell
Journal:  Acad Med       Date:  2003-03       Impact factor: 6.893

Review 3.  Overview: what's worked and what hasn't as a guide towards predictive admissions tool development.

Authors:  Eric Siu; Harold I Reiter
Journal:  Adv Health Sci Educ Theory Pract       Date:  2009-04-02       Impact factor: 3.853

4.  Dropout rates in medical students at one school before and after the installation of admission tests in Austria.

Authors:  Gilbert Reibnegger; Hans-Christian Caluba; Daniel Ithaler; Simone Manhal; Heide Maria Neges; Josef Smolle
Journal:  Acad Med       Date:  2011-08       Impact factor: 6.893

5.  Adjusting medical school admission: assessing interpersonal skills using situational judgement tests.

Authors:  Filip Lievens
Journal:  Med Educ       Date:  2013-02       Impact factor: 6.251

6.  Assessment of personal qualities in relation to admission to medical school.

Authors:  Mary Ann Lumsden; Miles Bore; Keith Millar; Rachael Jack; David Powis
Journal:  Med Educ       Date:  2005-03       Impact factor: 6.251

7.  Performances of men and women on NBME Part I and Part II: the more things change....

Authors:  S M Case; D F Becker; D B Swanson
Journal:  Acad Med       Date:  1993-10       Impact factor: 6.893

8.  Aptitude, achievement and competence in medicine: a latent variable path model.

Authors:  V Terri Collin; Claudio Violato; Kent Hecker
Journal:  Adv Health Sci Educ Theory Pract       Date:  2008-05-15       Impact factor: 3.853

9.  Dimensionality and predictive validity of the HAM-Nat, a test of natural sciences for medical school admission.

Authors:  Johanna C Hissbach; Dietrich Klusmann; Wolfgang Hampe
Journal:  BMC Med Educ       Date:  2011-10-14       Impact factor: 2.463

10.  Situational judgment test as an additional tool in a medical admission test: an observational investigation.

Authors:  Marion Luschin-Ebengreuth; Hans P Dimai; Daniel Ithaler; Heide M Neges; Gilbert Reibnegger
Journal:  BMC Res Notes       Date:  2015-03-14
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