Data Analysis and Interpretation in Qualitative Research

This article explores methods for analyzing and interpreting qualitative data in non-profit research. It examines coding, thematic analysis, content analysis, and triangulation as core techniques for producing credible and actionable insights. Emphasis is placed on systematic coding, iterative theme development, quantification of concepts, and cross-verification using multiple sources or methods. Practical strategies for non-profit practitioners include rigorous coding practices, iterative refinement, and validation of findings. Through illustrative examples, the article demonstrates how integrating these approaches ensures analysis is both methodologically robust and contextually relevant, supporting program design, evaluation, and advocacy in diverse and resource-constrained environments.