Data Collection Methods in Program Evaluation: Qualitative, Quantitative, and Mixed Approaches
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-tr-ev-imp-as-05
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About the Article
Data collection is the cornerstone of program evaluation, shaping the reliability, validity, and usefulness of findings. This article examines qualitative, quantitative, and mixed-methods approaches, highlighting their applications in nonprofit and development contexts, especially in resource-limited environments. It explores how interviews, focus groups, case studies, surveys, statistical data, and structured observations generate complementary insights. Mixed-methods designs are presented as a bridge between depth and breadth, enhancing validity and interpretive power. Challenges such as low literacy, language barriers, and financial constraints are addressed with practical strategies for adaptation. Drawing on examples from literacy, vocational training, health, and microfinance programs, the article demonstrates how rigorous yet context-sensitive data collection supports accountability, evidence-based decision-making, and program sustainability.
Key Topics
- Qualitative methods in nonprofit evaluation
- Quantitative approaches to data collection
- Mixed-methods designs for comprehensive insights
- Ensuring accuracy, reliability, and validity
- Addressing challenges in resource-limited contexts
- Best practices for culturally sensitive evaluation
Suggested Citation
Kazanskaia, A. N. (2025). Data collection methods in program evaluation: Qualitative, quantitative, and mixed approaches. NEYA Global Publishing. https://doi.org/10.64357/neya-gjnps-tr-ev-imp-as-05
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