Students’ misconceptions of statistical inference: A review of the empirical evidence from research on statistics education
Ana Elisa Castro Sotos, Stijn Vanhoof, Wim Van den Noortgate, Patrick Onghena
Educational Research Review Volume 2, Number 2 ISSN 1747-938X Publisher: Elsevier Ltd
A solid understanding of inferential statistics is of major importance for designing and interpreting empirical results in any scientific discipline. However, students are prone to many misconceptions regarding this topic. This article structurally summarizes and describes these misconceptions by presenting a systematic review of publications that provide empirical evidence of them. This group of publications was found to be dispersed over a wide range of specialized journals and proceedings, and the methodology used in the empirical studies was very diverse. Three research needs rise from this review: (1) further empirical studies that identify the sources and possible solutions for misconceptions in order to complement the abundant theoretical and statistical discussion about them; (2) new insights into effective research designs and methodologies to perform this type of research; and (3) structured and systematic summaries of findings like the one presented here, concerning misconceptions in other areas of statistics, that might be of interest both for educational researchers and teachers of statistics.
Castro Sotos, A.E., Vanhoof, S., Van den Noortgate, W. & Onghena, P. Students’ misconceptions of statistical inference: A review of the empirical evidence from research on statistics education. Educational Research Review, 2(2), 98-113. Elsevier Ltd. Retrieved March 24, 2023 from https://www.learntechlib.org/p/197454/.
This record was imported from Educational Research Review on February 1, 2019. Educational Research Review is a publication of Elsevier.Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.edurev.2007.04.001
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