Select a sample of around 100 returns (comments cards, questionnaires)
Count how many respondents have provided strong evidence of learning and express this number as a percentage of the total eg: 64% of respondents made strong statements about learning (64 out of your sample of 100).
Group data into categories depending on what you are trying to find out -Age eg; adult, child - to see how the learning experience has had an impact on a particular group of users -GLO categories - to find out how the learning relates to each of the GLOs -GLO sub-themes - breaking down the categories further to develop a detailed understanding of the users' perceptions of their learning experience.
You may decide to do this by physically making piles of the coded data on the floor, or by cutting, pasting and putting these together. Or you can enter the responses directly into a spreadsheet format.
Count the comments and then use the same method to describe the outcomes of your research. For example if 32 of your 64 useful comments cards contain strong statements about skills development you can claim that 50% of the statements made about learning demonstrated that new skills had been developed
Then start to make contrasts and comparisons and move from first level descriptions eg 50% of adults have acquired new skills
To more in-depth considerations Eg: of those 50%, 26% have better IT skills and 8% say their written communication skills have improved.
This data can be presented in bar charts or other diagramatic format in a spreadsheet package.
