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Data Interpretation
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Data Interpretation

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  • 1. Data Interpretation This is where the collected data is explained and linked back to the original idea.
  • 2. Mark scheme:
    • Level 1 : Brief description of the results / basic reasons for the results
    • Level 2 : Valid statements about the results. Attempts are made to analyse (data referred to). Conclusions are made.
    • Level 3 : Detailed analysis of the material. Data is referred to specifically. Links are made between different data sets and conclusions relate to purpose of enquiry.
  • 3. The key parts to this section are:
    • Describing the data – what does it show?
    • Explaining or suggesting reasons for the data – why does it show this?
    • Drawing out links between different data sets and linking to your title.......
  • 4. Before you start..
  • 5. Now, start to write your analysis...
    • 1. Begin, by making the simple and straightforward points about each graph...
    • Begin by asking, “what does it show?”
    • Pick out the numbers which support your statements (could be largest / smallest / greatest change)
  • 6. Example:
  • 7. Next:
    • Add more detail and try and explain.
    • For each graph, ask and answer the question, “Why is it like this?”
    • For example:
  • 8. .......
  • 9. Extending the analysis (Level 3)
    • Try and identify similarities , differences , patterns , links and relationships .
    • Look at your data (different graphs) and ask yourself....
    • How are they different?
    • In what ways are they the same?
    • Why do these differences / similarities exist?
  • 10. For example: