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September 10, 2025

Data Collection Methods in Monitoring and Evaluation: Quantitative, Qualitative, and Mixed Approaches

Key Points

Data collection shapes the quality and reliability of evidence for decision-making in development programs with mixed methods approaches.
Quantitative methods, such as surveys, yield measurable insights, and qualitative techniques provide contextual depth through case studies.
Mixed-methods designs integrate quantitative and qualitative data, enabling a more holistic perspective on program outcomes and contexts.
Technological innovations in data collection, including mobile surveys and GIS, enhance monitoring and evaluation capabilities, especially in low-resource settings.

Abstract

Data collection is a cornerstone of Monitoring and Evaluation (M&E), shaping the quality, reliability, and usefulness of evidence for decision-making in development programs. This article examines three main methodological traditions—quantitative, qualitative, and mixed methods—highlighting their respective strengths, limitations, and applications. Quantitative approaches, such as surveys and structured interviews, generate measurable insights, while qualitative techniques, including focus groups, case studies, and participatory tools, provide contextual depth. Mixed-methods designs integrate both, enabling holistic perspectives on program outcomes. The discussion also addresses technological innovations such as mobile surveys, GIS, and social media analytics, which have expanded possibilities for M&E, especially in low-resource contexts. Ethical considerations, including informed consent, privacy, and cultural sensitivity, are underscored as essential for responsible practice. The article concludes that effective data collection requires balancing rigor, ethics, and contextual adaptability, ensuring that M&E systems foster accountability, participation, and sustainable development outcomes.

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