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Engage, Explore, Enlighten: Proposing an Interactive Visualization and Analysis Model (IVAm) in Quantitative Research

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  • Peter Agyekum Boateng, PhD

    (School of Business, Valley View University, Ghana)

Abstract

The landscape of quantitative research is getting transformed by increasing complexity of data as well as growing demand for knowledge that is accessible. Users often find it hard to engage with traditional methods used in analyzing and presenting data thus giving shallow insights. IVAm is a new concept that calls for the integration of dynamic data visualization techniques to promote better interpretation, accessibility, and engagement with data. IVAm is not just about having tools; it advocates for a comprehensive approach that nurtures user-centric interaction, encourages transparency, and enables different audiences to use data so as to make informed decisions. The paper discusses the theoretical underpinnings, key principles, and methodological framework behind IVAm which can revolutionize how data are presented, enhance understanding and increase the reach of quantitative research. Lastly, it highlights some of the challenges faced by this approach as well as its future directions thereby setting grounds for further development and application of IVAm.

Suggested Citation

  • Peter Agyekum Boateng, PhD, 2023. "Engage, Explore, Enlighten: Proposing an Interactive Visualization and Analysis Model (IVAm) in Quantitative Research," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(12), pages 1701-1711, December.
  • Handle: RePEc:bcp:journl:v:7:y:2023:i:12:p:1701-1711
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    References listed on IDEAS

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    4. Fairfield, Tasha & Charman, Andrew, 2019. "A Dialogue with the Data: the Bayesian foundations of iterative research in qualitative social science," LSE Research Online Documents on Economics 89261, London School of Economics and Political Science, LSE Library.
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