Measuring and Improving University Students’ Statistics Self-Concept: A Systematic Review

Mehmet Filiz, Erin Early, Allen Thurston, Sarah Miller

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
23 Downloads (Pure)


This systematic review aimed to explore how university students’ statistics self-concept can be determined and enhanced. Five databases were included in this review, with the initial search returning 217 studies, after duplicates were removed. Following the implementation of the eligibility criteria, 21 studies remained for qualitative synthesis. The results of this review indicated that statistics self-concept is assumed to be a dimension of statistics attitudes. Additionally, the impact of different methods on statistics self-concept were tested in several studies, but these studies were appraised as methodologically unsound. Accordingly, this review recommends randomised controlled trials to be conducted in further studies to claim a strong casual mechanism.
Original languageEnglish
Article number100020
Pages (from-to)1-16
Number of pages16
JournalInternational Journal of Educational Research Open
Early online date5 Dec 2020
Publication statusPublished online - 5 Dec 2020


  • Statistics self-concept
  • Cognitive competence
  • Attitudes toward statistics
  • Expectancy-value model
  • Systematic review


Dive into the research topics of 'Measuring and Improving University Students’ Statistics Self-Concept: A Systematic Review'. Together they form a unique fingerprint.

Cite this