POST-FIELDWORK PHASE
3.1 Exercising Reasoning/ Reflective Thinking
Representing Data
The data collected can be represented in various ways (histogram, pie charts, bipolar graphs, etc). Effective representation of data will illustrate clearly the key findings (e.g. overall patterns and relationships, anomalies etc). You should choose the most appropriate way in which to present your data. Refer to the sub-page on data representation to see how you can represent the data.
3.2 Analysis of Data / Offering Explanations
Analysing Data / Offering Explanations
1. Start from review of your inquiry hypotheses
What is the purpose of your study?
2. Study the data you have collected as well as your graphs. Numbers and pictures have meaning.
Do you see any patterns in the data? (e.g. Chinese cultural elements in Chinatown are a blend of the cultural practices of the Chinese, local ethnicities and western influences as seen in the evidence gathered from land transect)
Do the patterns differ for the various streets of Chinatown?
3. Does the data support or not support your hypotheses?
· In what ways does the data support or not support your hypotheses?
· Are there any other emerging patterns or anomalies to your data?
4. Explain your findings.
a) Suggest some reasons why your hypotheses was supported or not supported, based on your knowledge, experience and any prior research you have done.
Are there any limitations to your data and evaluation?
Acknowledgement: This GI package is prepared by Mr Ivan Ng Wei Seng