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Evaluating the Quality of the Master’s Program in Statistics: a Study of the Curriculum Effect on the Quality of Students' Master Theses
Stockholm University, Faculty of Social Sciences, Department of Statistics.ORCID iD: 0000-0002-8610-0365
2018 (English)In: Looking back, looking forward: Proceedings of the Tenth International Conference on Teaching Statistics / [ed] M. A. Sorto, A. White, L. Guyot, Kyoto, Japan; Voorburg, The Netherlands: The International Statistical Institute, 2018Conference paper, Published paper (Refereed)
Abstract [en]

In 2012, the Swedish Higher Education Authority evaluated the quality of the Master's Program in Statistics with a main focus on the students' master theses. In this work, the course outcomes of all master students (N=55) registered at the Stockholm University, between 2012 and 2017, were used to investigate whether a particular practice at the department that can be characterized by program syllabus, supervision, teachers' expertise, is associated with the quality of master theses, or the quality has been mostly affected by student related characteristics. The obtained results showed significant effect of the course results in Inference, Statistical Computations and Multivariate Analysis. No significant effects of student’s gender and age have been found however the supervisor’s effect turned to be significant.

Place, publisher, year, edition, pages
Kyoto, Japan; Voorburg, The Netherlands: The International Statistical Institute, 2018.
Keywords [en]
statistics education, curriculum, learning outcomes, master degree project, quality indicator
National Category
Pedagogy Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:su:diva-158744OAI: oai:DiVA.org:su-158744DiVA, id: diva2:1238386
Conference
10th International Conference on Teaching Statistics, ICOTS 10, Kyoto, Japan, 8 – 13 July, 2018
Available from: 2018-08-13 Created: 2018-08-13 Last updated: 2022-02-26Bibliographically approved

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von Rosen, Tatjana

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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