A network analysis of statistics anxiety symptoms and their antecedents in UK Higher Education students

March, Joshua J. and Hamilton, David and McCormack, Dawn and Brisco, Ross and Grech, Amy (2025) A network analysis of statistics anxiety symptoms and their antecedents in UK Higher Education students. Annals of the New York Academy of Sciences. ISSN 0077-8923 (In Press) (https://doi.org/10.1111/nyas.15350)

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Abstract

Statistics anxiety is a widespread, multi-faceted phenomenon affecting many students in Higher Education. Feelings of excessive worry when exposed to statistical content impact student performance and heighten negative perceptions of statistics. While many factors have been identified as relevant antecedents of statistics anxiety, it is unclear how they relate to different components of this phenomenon, and which factors are most influential. Additionally, no research has investigated the impact of peer attitudes towards statistics anxiety. The current study describes a pre-registered network analysis of statistics anxiety, peer attitudes and related variables with a sample of 279 UK Higher Education students. After performing reliability checks, results support the distinction made in previous literature between attitudes towards statistics and statistics anxiety per se. The former were influenced by feelings of statistics self-efficacy, age and peer attitudes towards statistics, and the latter was influenced by negative problem orientation and intolerance of uncertainty. The most influential nodes were the negative problem orientation variables, inhibitory anxiety and interpretation anxiety. The findings are discussed in relation to addressing statistics anxiety from multiple angles.

ORCID iDs

March, Joshua J. ORCID logoORCID: https://orcid.org/0000-0003-0492-0616, Hamilton, David ORCID logoORCID: https://orcid.org/0000-0002-8659-4385, McCormack, Dawn, Brisco, Ross ORCID logoORCID: https://orcid.org/0000-0002-8216-9218 and Grech, Amy ORCID logoORCID: https://orcid.org/0009-0001-8158-1569;