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Session 3.1. Situation Analysis Step 2 Qualitative Data Analysis in EFSA

Session 3.1. Situation Analysis Step 2 Qualitative Data Analysis in EFSA. Learning objectives. After this session, participants should be able to:

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Session 3.1. Situation Analysis Step 2 Qualitative Data Analysis in EFSA

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  1. Session 3.1.Situation Analysis Step 2Qualitative Data Analysis in EFSA

  2. Learning objectives After this session, participants should be able to: • analyse HH food security in crisis situations using data collected from qualitative approaches (rather than data collected from a classic household survey) • describe various methods and ways of gathering an compiling qualitative data for analysis • explain the importance – and methods – of triangulating information sources to strengthen the reliability of the qualitative data collected

  3. Where are we?

  4. What types of qualitative approaches are used in EFSAs? various data collection methods used: • focus groups • transects • semi-structured interviews • maps • calendars triangulation is key purposive selection of sites to visit often used although random site selection is also possible

  5. Mortality & Nutrition Data • If available to EFSA team, these are generally from secondary sources • Also from semi-structured interviews with key informants (e.g. health or NGO staff) to identify changes in nutritional status of children, women, etc.…

  6. Food security analysis Info on access, consumption, coping strategies from: • focus groups • interviews with key informants • a few HH interviews Estimates of numbers of people in various categories (food consumption, access, risk) from focus groups; triangulation with other sources to see if results can be cautiously generalized

  7. Example of questions on food consumption

  8. Example of questions on food access

  9. Example of questions on coping strategies

  10. Steps to estimate number of people at risk

  11. Compiling Qualitative Data for analysis – in summary tables: FindingsfromSecondary Data

  12. Compiling Qualitative Data for analysis in summary tables: Findingsfrom Key Informants

  13. Compiling Qualitative Data for analysis in summary tables: Findingsfrom Focus or Community Groups

  14. Analyse tables (i.e. “the situation”) & summarize findings • Cite your sources • Use good judgement • If sources provide range of figures: include range in summary

  15. Example of summary table

  16. Exercise 3.4. Qualitative Data Analysis in the Region As a group, discuss your experience with qualitative EFSA data: • How did you collect these data? • What process did you use to analyse them? • What difference did these data make to your findings/conclusions?

  17. Wrap-up • Almost all EFSAs rely heavily on qualitative data collection and analysis. • Such data help us to understand the “real story” and priorities of the affected. • Transparent and comprehensive efforts to triangulate findings is key to any attempt to generalize findings.

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