I think all results from this survey are invalid. What about the people who see this and don't do it, like myself (reason being, I feel the results are inaccurate.. not because I don't want to help). Could say there's a fair chance that the people on this board are more enthusiastic about Uni then most people and the ones that do the survey are even more enthusiastic. You have no way for accounting of those who don't do this survey, it's why surveys in magazines where you have to send results in are totally inaccurate - those who do send it in must feeling strongly enough about the subject, good will won't work on all people.. maybe in an idealistic world.Originally posted by z_morris
Yes, good thought. This is not my only avenue of data collection. So im hoping that by using different groups or by going through subject co-ordinators too ill get a range of students. Can you think of any other ways??
The sample has not truly been randomised. Unless you attain a true random sample, your results are going to be way inaccurate.
I think you need to devise a method, where you select the people who undertake the survey, perhaps at the Uni and you need to ensure that you cover the whole Uni at random times and select random people as they come past to avoid discrimination based on looks, etc.
You may want to cover the library, the eating hall, eastern entrance, western entrance, northern entrance, southern entrance. People coming in from the west may be mainly arts/commerce students, while the east is all computer/engineering students. Even then, you need random samples of those students.
You will want to cover the areas at different days and different times and select random people as they walk past. Draw times out of a hat, roll a die, etc.
Maybe you could go and see a stat professor/lecturer to get them to fully explain it, as I've only done a level 1000 stat course, but feel pretty confident in saying your methods won't yeild accurate results seeing as you are only sampling a small percentage of the population, which is not as accurate as samplig the whole population (called a consensus, if I recall correctly).. so your sampling of a small percentage needs to be very accurate! The more data you have, providing it's randomised, the more accurate it is. Depending on how you analyse the data, you may need quite a bit of data.