EconPapers    
Economics at your fingertips  
 

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

PhD Peter Agyekum Boateng
Additional contact information
PhD Peter Agyekum Boateng: School of Business, Valley View University, Ghana

International Journal of Research and Innovation in Social Science, 2023, vol. 7, issue 12, 1701-1711

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.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijriss/ ... sue-12/1701-1711.pdf (application/pdf)
https://www.rsisinternational.org/journals/ijriss/ ... antitative-research/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:7:y:2023:i:12:p:1701-1711

Access Statistics for this article

International Journal of Research and Innovation in Social Science is currently edited by Dr. Nidhi Malhan

More articles in International Journal of Research and Innovation in Social Science from International Journal of Research and Innovation in Social Science (IJRISS)
Bibliographic data for series maintained by Dr. Pawan Verma ().

 
Page updated 2025-03-19
Handle: RePEc:bcp:journl:v:7:y:2023:i:12:p:1701-1711