Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)

Jenny Terry; Linda Tip; Charlie Lea; Zoe M. Flack; Matthew Brolly

doi:10.5334/jopd.80

Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)

Jenny Terry, Linda Tip, Charlie Lea, Zoe M. Flack, Matthew Brolly

Research output: Contribution to journal › Article › peer-review

Abstract

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts. Data and metadata are stored on the Open Science Framework website [https://osf.io/mhg94/?view_only=9d70d0facfeb476987f32d4ab156ecdc].

Original language	English
Article number	8
Journal	Journal of Open Psychology Data
Volume	11
Issue number	1
DOIs	https://doi.org/10.5334/jopd.80
Publication status	Published - 29 May 2023

Bibliographical note

Funding Information:
Kristel de Groot was supported by the Dutch Research Council (NWO); James M. Clay was supported by the Economic and Social Research Council (ES/P000673/1); Elizabeth Collins was supported by the Economic and Social Research Council; Philipp Schmid was supported by a European Commission Horizon 2020 Grant (964728 JITSUVAX); Robert M. Ross was supported the Australian Research Council (grant number: DP180102384), a Macquarie University Research Fellowship (MQRF), and the John Templeton Foundation (grant ID: 62631); Andras N. Zsido was supported by the New National Excellence Program of the Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund (OTKA PD-137588; ÚNKP-21-4); Jenny Terry was supported by a School of Psychology PhD Studentship, University of Sussex; Gabriel Banik was supported by a Slovak Research and Development Agency (APVV-17-0418); Matúš Adamkovič was supported by a Slovak Research and Development Agency (APVV-20-0319); Ivan Ropovik was supported by the Systemic Risk Institute (PRIMUS/20/HUM/009; LX22NPO5101); Mahmoud M. Elsherif was supported by the Baily Thomas Charitable Fund; Mauricio Salgado was supported by the National Agency for Research and Development (ANID), Ministry of Science, Technology, Knowledge and Innovation, through the Centre for Research in Inclusive Education (PIA-ANID CIE160009; 2017); Sophie Leonard was supported by the University College Dublin Ad Astra Scholarship; Flavia H. Santos was supported by the University College Dublin Ad Astra Start Up Scholarship.

Publisher Copyright:
© 2023 The authors.

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https://psyarxiv.com/au9vp

Cite this

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title = "Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)",

abstract = "This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments{\textquoteright} psychometric properties across different languages and contexts. Data and metadata are stored on the Open Science Framework website [https://osf.io/mhg94/?view_only=9d70d0facfeb476987f32d4ab156ecdc]. ",

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note = "Funding Information: Kristel de Groot was supported by the Dutch Research Council (NWO); James M. Clay was supported by the Economic and Social Research Council (ES/P000673/1); Elizabeth Collins was supported by the Economic and Social Research Council; Philipp Schmid was supported by a European Commission Horizon 2020 Grant (964728 JITSUVAX); Robert M. Ross was supported the Australian Research Council (grant number: DP180102384), a Macquarie University Research Fellowship (MQRF), and the John Templeton Foundation (grant ID: 62631); Andras N. Zsido was supported by the New National Excellence Program of the Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund (OTKA PD-137588; {\'U}NKP-21-4); Jenny Terry was supported by a School of Psychology PhD Studentship, University of Sussex; Gabriel Banik was supported by a Slovak Research and Development Agency (APVV-17-0418); Mat{\'u}{\v s} Adamkovi{\v c} was supported by a Slovak Research and Development Agency (APVV-20-0319); Ivan Ropovik was supported by the Systemic Risk Institute (PRIMUS/20/HUM/009; LX22NPO5101); Mahmoud M. Elsherif was supported by the Baily Thomas Charitable Fund; Mauricio Salgado was supported by the National Agency for Research and Development (ANID), Ministry of Science, Technology, Knowledge and Innovation, through the Centre for Research in Inclusive Education (PIA-ANID CIE160009; 2017); Sophie Leonard was supported by the University College Dublin Ad Astra Scholarship; Flavia H. Santos was supported by the University College Dublin Ad Astra Start Up Scholarship. Publisher Copyright: {\textcopyright} 2023 The authors.",

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Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)

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