How strongly does statistical reasoning influence knowledge and acceptance of evolution?

Fiedler, Daniela, Sbeglia, Gena C., Nehm, Ross H. and Harms, Ute (2019) How strongly does statistical reasoning influence knowledge and acceptance of evolution? Journal of Research in Science Teaching . DOI 10.1002/tea.21547.

Full text not available from this repository.

Supplementary data:

Abstract

A large body of research has examined students' conceptions of evolution and their relationships to acceptance of evolution. Proficiency in statistical and probabilistic reasoning has long been considered to be an essential feature of evolutionary reasoning, yet almost no empirical work has explored these putative connections. The RaPro instruments have recently been developed to measure statistical reasoning in the contexts of mathematics (RaProMath) and evolution (RaProEvo). Our study provides additional validation of these instruments using Rasch analysis and quantifies the contribution of statistical reasoning to both understanding and accepting evolution. We recruited a large sample (N = 564) of undergraduate students enrolled in an introductory biology course at a large public research university in the United States. Students completed a suite of published instruments that assessed statistical reasoning, evolutionary understanding, and evolutionary acceptance. Our findings indicate that validity inferences derived from RaPro scores generalized to the new sample, and that proficiency in statistical reasoning explained 28% of the variance in evolutionary knowledge and 19% of the variation in evolutionary acceptance. The inclusion of demographic variables into the model significantly increased the explained variance in acceptance. Notably, the variance in evolution acceptance explained by statistical reasoning was comparable to that of thinking dispositions or evolutionary knowledge reported in the literature. This work provides the first large‐scale evidence of the role of statistical reasoning in evolutionary knowledge and acceptance and motivates future work to explore how statistical literacy should be integrated into evolution education efforts.

Document Type: Article
Research affiliation: Kiel University > Kiel Marine Science
OceanRep > The Future Ocean - Cluster of Excellence
Kiel University
Refereed: Yes
DOI etc.: 10.1002/tea.21547
ISSN: 0022-4308
Date Deposited: 07 Aug 2019 12:36
Last Modified: 07 Aug 2019 12:36
URI: http://eprints.uni-kiel.de/id/eprint/47416

Actions (login required)

View Item View Item