Measuring Math Anxiety Through Self-Reports and Physiological Data

Abstract: Math anxiety (MA) is an important affective factor that contributes to individuals’ math proficiency. While self-reports are commonly used to measure MA, a number of limitations are inherently connected to this measuring method. Physiological responses are considered a promising alternative approach, but research is scarce and the empirical evidence is scattered. Therefore, this paper aimed to (1) investigate whether different types of tasks (i.e., difficulty and topic) result in differences regarding self-reported anxiety and physiological measures, and (2) analyse whether physiological measures can account for differences in self-reported MA. We manipulated the difficulty level of a math and non-math task, so this study had a two-by-two experimental within-subject design. The participants were 44 undergraduate students. In terms of the first research aim, results revealed that the difficult math task elicited more self-reported anxiety compared to the easy math task and the diffi.... https://jnc.psychopen.eu/index.php/jnc/article/view/9735

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Measuring Math Anxiety Through Self-Reports and Physiological Data ; volume:9 ; number:3 ; day:30 ; month:11 ; year:2023
Journal of numerical cognition ; 9, Heft 3 (30.11.2023)

Creator
Demedts, Febe
Cornelis, Jan
Reynvoet, Bert
Sasanguie, Delphine
Depaepe, Fien

DOI
10.5964/jnc.9735
URN
urn:nbn:de:101:1-2023122304135425078416
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:28 AM CEST

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Associated

  • Demedts, Febe
  • Cornelis, Jan
  • Reynvoet, Bert
  • Sasanguie, Delphine
  • Depaepe, Fien

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