Data Collection and Analysis in Non-Profit Strategic Evaluation

This article examines data collection and analysis as the foundation of strategic evaluation in non-profit organizations. It distinguishes between qualitative and quantitative approaches, emphasizes the importance of validity and reliability, and explores techniques such as thematic analysis, descriptive and inferential statistics, and regression methods. The role of digital tools—including SurveyMonkey, SPSS, NVivo, Tableau, and R—is highlighted in enhancing efficiency and accuracy. Case studies from education and health sectors illustrate how robust data practices support accountability, inform decision-making, and foster continuous improvement.