A General Math Anxiety Measure

Autor: Stephanie Kelly, Stephen M. Croucher, Kyung Yong Kim, Tatiana Permyakova, Elira Turdubaeva, Kenneth T. Rocker, Nadirabegim Eskiçorapçı, Gulzada Stanalieva, Bakyt Orunbekov, Sucharat Rimkeeratikul
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Education Sciences, Vol 12, Iss 6, p 370 (2022)
Druh dokumentu: article
ISSN: 2227-7102
DOI: 10.3390/educsci12060370
Popis: Math anxiety is a psychological burden that can hinder individuals across their lifetimes. However, the current literature lacks a valid measure of math anxiety that can be used across instructional modalities and among non-student populations. As such, it is difficult to assess math anxiety in virtual learning environments, track math anxiety across lifetimes, or determine the utility of math anxiety inoculations for non-student populations. This study presents a validity portfolio for a generalized math anxiety measure that can be used across teaching modalities, across lifetimes, and is simple enough to be used cross-culturally. The measure yielded evidence of validity when used in all tested samples: the United States (student and non-student samples), New Zealand (student and non-student samples), Kyrgyzstan (non-student sample), Turkey (non-student sample), Russia (non-student sample), and Thailand (non-student sample). The data support the use of the new math anxiety measure free of context.
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