Using Statistical Software for Quantitative Analysis in Non-Profit Organizations
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-qn-rchfr-mth-09
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About the Article
Statistical software is central to quantitative research, enabling non-profit organizations to manage data efficiently, conduct rigorous analyses, and produce reproducible reports. This article surveys widely used platforms—SPSS, R, and Stata—highlighting their learning curves, licensing models, and analytical capacities. A platform-agnostic workflow is outlined, covering data import and cleaning, exploratory data analysis, inferential testing, modeling, visualization, and reproducible reporting. Guidance is provided on interpreting outputs such as descriptive tables, regression and ANOVA summaries, and diagnostics, alongside practical strategies for troubleshooting common issues. Emphasis is placed on version control, codebooks, templates, and documentation to maintain transparency and reproducibility. The article argues that software choice should follow analytical objectives and team capacity; with modest but deliberate investment, even small non-profits can produce decision-grade analytics that support evidence-based program design, accountability, and advocacy.
Key Topics
- Statistical software
- SPSS, R, Stata
- Data management
- Reproducible research
- Program evaluation
- Quantitative analysis workflow
Suggested Citation
Kazanskaia, A. N. (2025). Using Statistical Software for Quantitative Analysis in Non-Profit Organizations. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-qn-rchfr-mth-09
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| Kazanskaia, A. N. (2025). Using Statistical Software for Quantitative Analysis in Non-Profit Organizations. NEYA Global Journal of Non-Profit Studies. https://doi.org/10.64357/neya-gjnps-qn-rchfr-mth-09 | ||||
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