gms | German Medical Science

Learning through Inquiry in Higher Education: Current Research and Future Challenges (INHERE 2018)

08.03. - 09.03.2018, München

Investigating Scientific Reasoning & Argumentation and Statistical Literacy in Higher Education: The Role of Domain and Study Progress

Meeting Abstract

  • corresponding author presenting/speaker Markus Berndt - Klinikum der LMU München, Institut für Didaktik und Ausbildungsforschung in der Medizin, Munich, Germany
  • author Felicitas Schmidt - Klinikum der LMU München, Institut für Didaktik und Ausbildungsforschung in der Medizin, Munich, Germany
  • author Maximilian Sailer - LMU München, Lehrstuhl für Empirische Pädagogik und Pädagogische Psychologie, Munich, Germany
  • author Frank Fischer - LMU München, Lehrstuhl für Empirische Pädagogik und Pädagogische Psychologie, Munich, Germany
  • author Martin Fischer - Klinikum der LMU München, Institut für Didaktik und Ausbildungsforschung in der Medizin, Munich, Germany
  • author Jan Zottmann - Klinikum der LMU München, Institut für Didaktik und Ausbildungsforschung in der Medizin, Munich, Germany

Learning through Inquiry in Higher Education: Current Research and Future Challenges (INHERE 2018). München, 08.-09.03.2018. Düsseldorf: German Medical Science GMS Publishing House; 2018. Doc05

doi: 10.3205/18inhere05, urn:nbn:de:0183-18inhere058

Published: March 1, 2018

© 2018 Berndt et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

Introduction: Inquiry-based learning appears to be a promising approach to support university students in the acquisition of skills related to scientific reasoning & argumentation (SRA), including the ability to evaluate scientific evidence and to draw evidence-based conclusions [1], [3]. This study examined differences in students’ SRA skills and statistical literacy, i.e. the ability to use and understand statistical numbers [2], depending on domain and study progress.

Methods: SRA skills and statistical literacy were analyzed in a quasi-experimental 2x3 study with N=212 students from three domains (social sciences, medicine, economics) and in different stages of their studies (undergraduate vs. graduate). We developed an online test inventory for the assessment of statistical literacy based on validated measurement tools. For the assessment of SRA skills, a decision-making scenario was utilized.

Results: Regarding statistical literacy, differences were observed between the domains, F(2,211)=10.86, p=.000, partial eta²=.095. Social sciences students scored lower (MSocial Sciences=10.96, SD=4.94) than students from medicine (MMedicine=14.32, SD=4.63) and economics (MEconomics=13.20, SD=4.44). We found an interaction between domain and study progress, F(2,211)=4.31, p=.015, partial eta²=.04. Medicine students scored higher in the undergraduate phase (MMedicine=15.23, SD=4.21; MEconomics=12.15, SD=4.21), economics students scored higher in the graduate phase (MEconomics=15.38, SD=4.19; MMedicine=13.40, SD=4.90). Regarding SRA skills, students did not differ across domains, F(2,202)=.070, p=.932. We found a main effect for study progress in social sciences and economics, F(1,122)=5.82, p=.017, partial eta²=.05. In these domains, students scored lower in the graduate phase (M=10.49, SD=4.74) than in the undergraduate phase (M=12.47, SD=3.86).

Discussion: In general, students in economics and medicine demonstrated stronger skills in statistical literacy than social sciences students. The cross-sectional results suggest a decline of statistical literacy and SRA skills between undergraduate and graduate phase, indicating an urgent need to foster these skills during university studies.


References

1.
Fischer F, Kollar I, Ufer S, Sodian B, Hussmann H, Pekrun R, Neuhaus B, Dorner B, Pankofer S, Fischer M, Strijbos JW, Heene M, Eberle J. Scientific Reasoning and Argumentation: Advancing an Interdisciplinary Research Agenda in Education. Frontline Learn Res. 2014;2:28-45.
2.
Gaissmaier W, Gigerenzer G. Statistical illiteracy undermines informed shared decision making. Z Evid Fortbild Qual Gesundheitswes. 2008;102(7):411-413. DOI: 10.1016/j.zefq.2008.08.013 External link
3.
Mieg HA, Lehmann J. Forschendes Lernen: Wie die Lehre in Universität und Fachhochschule erneuert werden kann. Frankfurt am Main: Campus; 2017.