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In development communication, research data analysis and interpretation are critical for transforming raw information into meaningful insights that can inform policy, program design, and community interventions. The process begins with the selection of appropriate techniques for data analysis, which depend on the nature of the data collected—quantitative or qualitative. Quantitative data, such as survey responses or program metrics, are generally analyzed using statistical methods, while qualitative data, such as interviews, focus group discussions, and case studies, are interpreted using thematic or content analysis. The choice of analytical technique ensures that findings accurately ______ _______ __________ _____ __________.
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