Analysing data: applying Friedman's test
An analysis of data is usually required after you have undertaken research or an experiment in order to convert the data into useful information. An analysis involves:
"...processing the data into a useable form, and analysing it to produce the results from which you can begin to draw conclusions." (Moore 2006 pg. 133)
Here, you will be presented with some example data that is used to explain and demonstrate some of the concepts associated with data analysis such as describing the data, producing a graphic and deciding how to statistically analyse your data. The data relates to a proxy measure for the psychological wellbeing of 21 HIV-positive men undergoing treatment to combat changes in facial appearance. The data can be viewed by selecting "Introduction: the data" from the table below.
This topic focuses on the thought processes behind some of the decisions that you will need to make when analysing the data. You can follow it through from beginning to end to get an overview or dip in and out of those areas relevant to you.
Author: Paul White, Bristol Institute of technology, University of the West of England, Bristol. Contributions from Dr Olivia billingham, University of the West of England, Bristol.