This analysis highlights how different methods enhance data collection for monitoring and evaluation, indicating their varied strengths and ethical implications.
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.
Cite This Study
Anna Neya Kazanskaia (2025) studied this question.