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6. Analysis and Interpretation

Data becomes valuable when transformed into insights that inform action. Analysis involves both technical skills and critical thinking to understand what your data is telling you about your work.

Quantitative Analysis

Quantitative analysis helps you understand patterns and trends in numerical data. Start with basic descriptive statistics to understand your data's main features. Look for:

  • Central tendencies (means, medians, modes)

  • Distributions and variations

  • Trends over time

  • Relationships between variables

Remember that numbers tell only part of the story. Consider what the figures mean in your program's context and how they relate to your objectives.

Qualitative Analysis

Qualitative data provides rich insights into the how and why of your results. When analyzing qualitative information:

  • Look for common themes and patterns

  • Consider different perspectives

  • Identify unexpected findings

  • Connect insights to your theory of change

The best insights often come from combining quantitative and qualitative analysis to build a complete picture of your program's performance and impact.

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