Sample 12
Sample 12 : Sampling refers to the number of people whose views you collect for your evaluation study. If it is not possible to survey everybody in the population of interest, you will need to select a sample. Results from the people in your sample give you an estimate of what the results would have been had the whole population been surveyed. Samples can be randomly selected, or non-randomly selected. Non-random Sample: The people in the sample have not been randomly selected. Non-random samples are mainly used in qualitative research: or in quantitative research where statistical significance tests are not required. Random Sample: The people in the sample are selected at random. This means that every member of the population you are interested in has an equal chance of being selected, and results can therefore be generalised. To use this technique you will need a complete list of everyone in the population. Stratified Sample: A population of interest often contains distinct sub-groups, for example: male and female, children, young people, and adults, or different ethnicities. The views of these sub-groups may differ to each other so it is useful to stratify your sample so that each sub-group is proportionately represented. For example: if 30% of a population are female and 70% male, then in a stratified sample 30% of the participants would be female, and 70% male
No records Found