This document provides guidance on summarizing and analyzing collected data in 3 levels of detail: Level 1 involves briefly describing results and stating basic reasons for those results. Level 2 adds valid statements analyzing the data by referring to it and drawing conclusions. Level 3 provides a detailed analysis linking different data sets together, referring specifically to data, and drawing conclusions related to the original purpose. The key is to describe data patterns, explain reasons for those patterns by asking why, and link different data sets to the overall topic.

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: