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Emotions and mathematics: anxiety profiles and their influence on arithmetic performance in university students

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posted on 2023-10-30, 11:10 authored by Serena RossiSerena Rossi, Iro Xenidou-DervouIro Xenidou-Dervou, Krzysztof CiporaKrzysztof Cipora

Mathematics anxiety (MA), general and test anxieties affect mathematics performance. However, little is known about how different anxiety profiles (i.e. individual configurations of anxiety forms) influence the relationship between MA and mathematics performance in university students. To the best of our knowledge, studies that have categorized participants based on their anxiety profiles and investigated how such groups differ in mathematics performance and other individual characteristics have all been conducted only with children and adolescents. Using latent profile analysis, we identified five different anxiety profiles in UK university students (N = 328) based on their MA, test anxiety (TA) and trait general anxiety levels (GA). Beyond extreme profiles (high or low levels in all forms of anxiety), we found groups characterized by more specific anxiety forms (MA profile, TA profile and high anxiety with low MA learning profile). These profiles were differentially related to arithmetic performance (but not the performance in a non-mathematics task), and individual factors (e.g. self-concept and self-efficacy). Results can inform the design of interventions tailored to individuals' unique anxiety profiles and highlight the necessity to further study the underpinning mechanisms that drive the MA developmental trajectory from childhood to adulthood.

Funding

Research England, via the Centre for Mathematical Cognition (Loughborough University, UK)

History

School

  • Science

Department

  • Mathematics Education Centre

Published in

Royal Society Open Science

Volume

10

Issue

10

Publisher

The Royal Society

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

Acceptance date

2023-09-15

Publication date

2023-10-11

Copyright date

2023

eISSN

2054-5703

Language

  • en

Depositor

Serena Rossi. Deposit date: 30 September 2023

Article number

230861

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