(Mal)adaptive cognitions as predictors of statistics anxiety

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2022

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  • handle:  10670/1.eiuiol
  • McIntee Sara-Emilie, Goulet-Pelletier Jean-Chrisophe, Williot Alexandre, Deck-Léger Emma, Lalande Daniel, Cantinotti Michael et Cousineau Denis. (2022). (Mal)adaptive cognitions as predictors of statistics anxiety. Statistics Education Research Journal, 21, (1), p. 5.
  • doi:  10.52041/serj.v21i1.364
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Ce document est lié à :
https://constellation.uqac.ca/id/eprint/8591/

Ce document est lié à :
http://dx.doi.org/doi.org/10.52041/serj.v21i1.364

Ce document est lié à :
doi:10.52041/serj.v21i1.364




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Sara-Emilie McIntee et al., « (Mal)adaptive cognitions as predictors of statistics anxiety », Constellation - Université du Québec à Chicoutimi, ID : 10.52041/serj.v21i1.364


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A vast majority of social science students experience statistics anxiety in their statistics class, a course often perceived as the most difficult one of their academic paths. The present study examines the role of attitudes towards statistics, cognitive emotion regulation strategies, and satisfaction of psychological needs in the prediction of statistics anxiety as well as the contribution of gender onto statistics anxiety. Two hundred forty-two undergraduate social sciences students in Canada completed the study. Positive attitude towards statistics, fewer maladaptive emotion regulation strategies, and satisfaction of psychological needs were related to less statistics anxiety; adaptive emotion regulation strategies, however, were not. Furthermore, women experienced more statistics anxiety than men. Results provide insight about individual differences that may impact experiences of statistics anxiety and overall learning in the context of a statistics course.

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