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Six principles of data analysis specific to NIPN (4/5)

Principle 4: The findings should “tell a story”

  • NIPN makes use of nutrition impact pathways to unpack broad policy questions, which are often related to impact, into sub-questions which are more likely to be answerable with existing data. The impact pathway is a logical way to organise the various elements (inputs – activities – outputs – outcomes – impact) (section 2.3, page 5).
  • The analysis of data related to indicators along nutrition impact pathways can tell a story along the pathway, and should not appear as a compilation of indicators. When the logic of the pathway is clear, it is more likely to influence policy makers.
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Example of a nutrition-sensitive agriculture intervention
Why an agricultural nutrition-sensitive intervention has or has not resulted in an improved nutrition outcome can be explained in a clear and convincing way when analysing:
  • differences in investments in these interventions over time or between population groups (inputs in human and financial resources);
  • the change in the quality and frequency of implementation of the interventions over time or between population groups (if data for a proxy indicator of activity implementation is available);
  • which proportion of the target population has benefited the most from the intervention (coverage per income quintile for instance); and
  • whether there is a change in the risk factor/determinant over time or between population groups (e.g. dietary diversity score).