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Descriptive statistics describe your results such as in graphs or summary tables,
these give an overview of your results.
Used for correlational data. Include graph
title, and labels on axis for full marks.
Used for data with an independent variable
and a dependent variable. The IV goes on
the x axis and the DV goes on the Y axis.
Include graph title and labels for both
axes for full marks as well as a suitable
scale. Used for nominal data (data that
includes categories i.e. names).
Data that is concerned with words and feelings and whilst you can make a
subjective summary, it is hard to be precise.
Often people use a content analysis to convert qualitative data into quantitative
1. Identify themes to quantify data
2. Make sure themes are mutually exclusive and clearly defined
3. Read the content and tally the number of times each them appears
4. Check the raters are reliable by using a correlation between the two sets
of results collected.
5. Draw a bar chart. This type of chart is used as the data is nominal.