Data Analysis and Interpretation in Virtual Volunteer Programs: Methods, Applications, and Insights
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global Publishing
Article | NEYA Global Journal of Non-Profit Studies
Year: 2025
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-mnevlvrvlpr-06
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About the Article
Data analysis and interpretation transform raw information into insights that guide program design, accountability, and learning. In virtual volunteer programs, where contexts are dispersed and resource-constrained, the challenge lies in applying methods that are both rigorous and practical. This article examines quantitative techniques such as descriptive and inferential statistics, regression, and visualization, alongside qualitative approaches like coding, thematic analysis, and content analysis. It highlights triangulation as a strategy for enhancing validity through the integration of multiple methods and perspectives. Case illustrations demonstrate how analyzing surveys, interviews, and observation logs can inform training, engagement, and program refinement. By combining statistical precision with qualitative depth, organizations can produce actionable insights that strengthen virtual volunteer initiatives, ensuring adaptability, effectiveness, and long-term sustainability.
Key Topics
- Quantitative and qualitative analysis methods
- Descriptive and inferential statistics
- Coding, thematic and content analysis
- Triangulation for validity and credibility
- Contextual interpretation of findings
- Insights for program improvement and sustainability
Suggested Citation
Kazanskaia, A. N. (2025). Data Analysis and Interpretation in Virtual Volunteer Programs: Methods, Applications, and Insights. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-mnevlvrvlpr-06
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