Analyze the Data

Now comes the exciting part: analyzing the collected data and drawing conclusions. Just as we recommend that the measuring instruments are sufficiently substantiated, we also recommend the use of substantiated methodologies for data analysis.

You can start from two perspectives, deductive or inductive.

unsplash.com
Deductive analysis: relate the data collected to the expected effects and assumptions of the Theory of Change
    • Are the effects clear?
    • Are the results higher or lower than expected?
    • Are the assumptions confirmed?
    • Causality. To what extent is there a link between the effects and the activities? This can only be demonstrated be demonstrated with a control group.
    • Negative / unintended effects. Where might there be negative or unintended side effects occur?
Inductive analysis: let the data speak for itself. Look for patterns, themes or categories in the data.