Analyzing Grant Data: Methods, Interpretation, and Mixed-Approach Strategies for Non-Profit Organizations
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global | NEYA Global Publishing
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-grant-data-05
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About the Article
This article explores methodologies for analyzing grant data, emphasizing the complementary roles of qualitative, quantitative, and mixed-method approaches. It reviews qualitative techniques such as thematic, content, and narrative analysis, which capture the lived experiences of beneficiaries, alongside quantitative methods that provide measurable evidence through descriptive and inferential statistics.
The article highlights the strategic value of integrating these approaches to strengthen validity, reliability, and funder confidence. Data interpretation is presented as a contextualized process that incorporates local realities, baseline indicators, and sector benchmarks. Practical considerations such as visualization, software tools, and iterative analysis further enhance clarity and credibility. Case illustrations demonstrate how combining diverse methods produces actionable insights that inform strategic decision-making and strengthen organizational sustainability.
Key Topics
- Thematic, content, and narrative analysis for qualitative data
- Descriptive and inferential statistics for quantitative evaluation
- Data visualization for clarity and funder communication
- Mixed-methods strategies and triangulation for greater validity
- Contextual interpretation using baselines and benchmarks
- Software tools for non-profits (Excel, R, SPSS)
- Ethical responsibility and methodological rigor in analysis
Academic Value
The article contributes to academic debates on evaluation and accountability by integrating methodological rigor with practical application in non-profit reporting. For scholars, it links theories of qualitative and quantitative research to applied grant evaluation. For practitioners, it offers a structured roadmap for analyzing data with limited resources, emphasizing mixed-methods integration, contextual relevance, and cost-effective use of digital tools.
Suggested Citation
Kazanskaia, A. N. (2025). Analyzing Grant Data: Methods, Interpretation, and Mixed-Approach Strategies for Non-Profit Organizations. NEYA Global Publishing. https://doi.org/10.64357/neya-gjnps-grant-data-05
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