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Adoption and use of statistical software support in higher education: a cross-national analysis

Author

Listed:
  • Ben Sebian

    (Queen Margaret University)

  • Simin Ghaviferkr

    (University of Nottingham)

  • Atila Yildirim

    (Konya University)

Abstract

The databases’ information and associated analytical approaches are gaining an ever-greater role in making business decisions, thus increasing the need for highly educated employees with good expertise of statistical support software that provides support for analysis of complex databases. This article presents a cross-national analysis regarding the adoption and use of statistical support software SPSS in higher education among students from Slovenia, Malaysia and Turkey. We present a conceptual model, based on TAM (Technology Acceptance Model) and we compared it in different national contexts. The conceptual model was tested using SEM (structural equation modeling). Despite different cultural and geographical differences, we found that the three models as a whole do not significantly differ, however, vary considerable differences between individual constructs by countries were identified. Students from Malaysia and Turkey are perceiving greater benefits of using of SPSS in future, show greater compatibility of SPSS with the academic needs, and have more positive attitude towards the use of SPSS as well as higher perceived usefulness of statistics as students from Slovenia.

Suggested Citation

  • Ben Sebian & Simin Ghaviferkr & Atila Yildirim, 2023. "Adoption and use of statistical software support in higher education: a cross-national analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4633-4656, October.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:5:d:10.1007_s11135-022-01571-x
    DOI: 10.1007/s11135-022-01571-x
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    References listed on IDEAS

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    1. Scott McCoy & Andrea Everard & Brian M. Jones, 2005. "An Examination of the Technology Acceptance Model in Uruguay and the US: A Focus on Culture," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 8(2), pages 27-45, April.
    2. Shalini Shukla & Rakesh Kumar, 2020. "Researcher Intention to Use Statistical Software: Examine the Role of Statistical Anxiety, Self-Efficacy and Enjoyment," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 16(3), pages 39-55, July.
    3. Khaled A. Alshare & Hani I. Mesak & Elizabeth E. Grandon & Masood A. Badri, 2011. "Examining the Moderating Role of National Culture on an Extended Technology Acceptance Model," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 14(3), pages 27-53, July.
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