I have a population of 20000 employees all working in the same building. My task is to get there opinions of the food in cafe restaurant.
However I am unsure of the sampling method that I would use. I think it is fair to say my population of interest is not the 20000 but the people that actually use the restaurant. So it would take a long time to determine the people that have been to the cafe for food from the sample 20000 workers.
If it was assumed that all the 20,000 workers used the cafe I could use Stratified Sampling technique as I would have a data frame. However I don't think I could do this. I was just wondering would it be best to carry out a simple random first to see if our assumption was valid.
Any suggestions would be greatly appreciated.