Advanced Statistical Techniques in Non-Profit Organizations: Methods, Applications, and Strategic 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-adv-dt-an-09
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About the Article
Advanced statistical techniques enable non-profit organizations to analyze complex datasets, uncover hidden patterns, and make informed, evidence-based decisions. This article explores multivariate methods—including multiple regression, factor analysis, and cluster analysis—as well as longitudinal data approaches, structural equation modeling (SEM), and Bayesian analysis. Case studies demonstrate applications such as predicting donation amounts, monitoring longitudinal changes in volunteer engagement, and modeling donor satisfaction. Challenges, including missing data and specialized software requirements, are discussed alongside strategies for incremental adoption, collaboration with data experts, and continual model validation. By applying these techniques systematically, non-profits can optimize resource allocation, refine program design, and enhance transparency and accountability, laying a foundation for data-driven management and greater social impact.
Key Topics
- Advanced statistical methods for non-profits
- Multivariate analysis and cluster techniques
- Longitudinal data analysis and growth curve modeling
- Structural Equation Modeling (SEM)
- Bayesian approaches and predictive forecasting
- Applications in program evaluation, donor behavior, and resource optimization
Suggested Citation
Kazanskaia, A. N. (2025). Advanced Statistical Techniques in Non-Profit Organizations: Methods, Applications, and Strategic Insights. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-adv-dt-an-09
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