Teaching Paper: Coding and Analysis Tools for Qualitative Research in Non-Profits
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global Publishing
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-ql-rchfr-mth-tp-03
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About the Teaching Paper
This Teaching Paper provides guidance on qualitative coding and analysis tools for non-profit research and evaluation. It introduces both commercial and open-source software, outlining functionalities, advantages, and applicability in resource-limited contexts. Through a case study, the paper illustrates how organizations can select tools based on capacity and research needs. It addresses challenges such as cost, training, technical barriers, and data security, offering practical strategies to ensure ethical and reliable use. By combining academic grounding with actionable recommendations, this paper supports non-profits in systematically transforming qualitative data into meaningful, evidence-based insights.
Key Topics
- Qualitative data analysis
- Coding
- NVivo
- Atlas.ti
- MAXQDA
- Dedoose
- Non-profit evaluation
- Open-source tools
Executive Summary
This paper presents an overview of software tools for coding and analyzing qualitative data in non-profit contexts. Commercial tools (NVivo, Atlas.ti, Dedoose, MAXQDA, QDA Miner) offer advanced functionalities for coding, visualization, and mixed-methods integration. Open-source alternatives (RQDA, Taguette, oTranscribe) provide accessible solutions for organizations with limited budgets. A case study demonstrates how free tools can effectively support collaborative coding and thematic analysis, producing actionable insights while maintaining credibility. The paper emphasizes the value of coding tools in enhancing rigor, transparency, and accountability in qualitative research.
Purpose and Learning Objectives
Purpose: Equip non-profit practitioners and researchers with knowledge of qualitative coding tools and guidance for selecting appropriate software.
Learning Objectives:
- Understand the role of coding in qualitative research and evaluation.
- Compare functionalities of commercial and open-source tools.
- Recognize challenges such as cost, training, and data security.
- Apply tools to enhance rigor and participatory practice.
- Integrate coding outputs into evidence-based decision-making.
Background and Context
Coding systematically categorizes qualitative data to identify themes, patterns, and insights (Saldaña, 2021; Miles, Huberman, & Saldaña, 2019). For non-profits, coding enables structured analysis of interviews, focus groups, and documents, supporting program improvement and accountability. Digital tools enhance this process by providing systematic coding functions, visualization, and integration with quantitative methods. Accessibility, usability, and training are key considerations in resource-constrained environments.
Practical Guide
Commercial Tools
- NVivo: Comprehensive coding, visualization, and mixed-data integration (text, audio, video).
- Atlas.ti: Network mapping and collaborative features.
- Dedoose: Web-based, ideal for mixed-methods studies and collaborative access.
- MAXQDA: Flexible coding, visualization, and quantitative integration.
- QDA Miner: Combines qualitative and quantitative analysis with robust annotation.
Free/Open-Source Tools
- RQDA: R-based, open-source coding and text management.
- Taguette: Browser-based, collaborative coding and annotation.
- oTranscribe: Supports transcription of audio/video for qualitative preparation.
Case Study
A Latin American NGO evaluated a youth empowerment program using Taguette for coding and oTranscribe for transcript preparation due to budget constraints. The team identified themes around leadership and employment opportunities and presented findings to donors. The case demonstrates that free tools can maintain methodological credibility while ensuring accessibility.
Common Challenges and Tips
- High costs: Leverage institutional licenses, academic discounts, or open-source alternatives.
- Steep learning curve: Invest in workshops and online tutorials.
- Data security: Anonymize sensitive information and comply with data protection standards.
- Limited functionality of free tools: Combine with manual coding and transcription practices.
Reflection Questions
- What factors guide the choice between commercial and open-source tools?
- How can training enhance software use?
- How might software-based analysis improve organizational accountability?
- What ethical considerations arise when storing and coding digital qualitative data?
Limitations and Considerations
- Commercial software may be inaccessible due to cost.
- Free tools may lack advanced features for complex datasets.
- Web-based platforms require attention to data privacy.
- Effective use requires training and technical capacity.
Academic Value
This Teaching Paper bridges qualitative research theory and practice in non-profit contexts. It provides guidance on aligning software tools with organizational capacity, enhancing rigor, reliability, and transparency. For academics, it highlights methodological implications; for practitioners, it supports actionable, evidence-based decision-making.
Conclusion and Next Steps
Selecting appropriate coding and analysis tools enables non-profits to transform stakeholder narratives into structured insights. Next steps include staff training, experimenting with free tools, and integrating advanced software as resources allow, ensuring both methodological rigor and practical usability.
Suggested Citation
Kazanskaia, A. N. (2025). Teaching Paper: Coding and Analysis Tools for Qualitative Research in Non-Profits. NEYA Global Publishing. https://doi.org/10.64357/neya-gjnps-ql-rchfr—mth-tp-03
References
| Miles, M. B., Huberman, A. M., & Saldaña, J. (2019). Qualitative data analysis: A methods sourcebook (4th ed.). Sage. | ||||
| Kazanskaia, A. N. (2025). Qualitative Research Methods. NEYA Global Publishing. https://doi.org/10.64357/qualitative-research-methods-2025 | ||||
| Kazanskaia, A. N. (2025). Introduction to Data Analysis for Non-Profits. NEYA Global Publishing. https://doi.org/10.64357/introduction-data-analysis-nonprofits-2025 | ||||
| Kazanskaia, A. N. (2025). Advanced Data Analytics Techniques for Social Impact. NEYA Global Publishing. https://doi.org/10.64357/advanced-data-analytics-social-impact-2025 | ||||
| Kazanskaia, A. N. (2025). Monitoring & Evaluation in International Development. NEYA Global Publishing. https://doi.org/10.64357/monitoring-evaluation-international-development-2025 | ||||
| Kazanskaia, A. N. (2025). Data Analysis and Interpretation in Qualitative Research. NEYA Global Journal of Non-Profit Studies. https://doi.org/10.64357/neya-gjnps-ql-rchfr-mth-08 | ||||
| Kazanskaia, A. N. (2025). Narrative Analysis as a Qualitative Research Method in Non-Profit Contexts. NEYA Global Journal of Non-Profit Studies. https://doi.org/10.64357/neya-gjnps-ql-rchfr-mth-07 | ||||
| Patton, M. Q. (2015). Qualitative research and evaluation methods (4th ed.). Sage. | ||||
| Saldaña, J. (2021). The coding manual for qualitative researchers (4th ed.). Sage. | ||||
| Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). Sage. | ||||
| Kazanskaia, A. N. (2025). Strategic planning for social impact. NEYA Global Publishing. https://doi.org/10.64357/strategic-planning-2025 | ||||
