Data Interpretation

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Data Interpretation

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

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