A systematic approach can still be used by asking every fifth person. To conduct such a survey, a university could use systematic sampling. For example: if an area of woodland was the study site, there would likely be different types of habitat (sub-sets) within it. After researchers design and place the cluster sampling method on their preferred demographic, then similar information gets collected from each group. The cluster sampling process works best when people get classified into units instead of as individuals. Advantages and Disadvantages of Two Sampling Methods Geography Key Words Geography Unit 2 Key Words Geographical Skills- AS Human geography Rebranding Places overview AS Geography Unit 2 AQA Geography revision Skills There is an added time cost that must be included with the research process as well. When the population consists of units rather than individuals. 5. There are three methods of sampling to help overcome bias. This might be particularly beneficial for studies with strict parameters or a narrowly formed hypothesis, assuming the sampling is reasonably constructed to fit certain parameters. This is allowed because the sampling occurs within specific boundaries that dictate the sampling process. For random sampling to work, there must be a large population group from which sampling can take place. The representative samples in the clustering approach must have the same representative size to be a useful research tool. You do not go through each of the individual items. Data collection sheets should have a simple design so that the results are clear to read. This disadvantage boosts the potential error rate of a cluster sample study even higher. See our population definition here. 16 0 obj This compensation may impact how and where listings appear. Stratified sampling - dividing sampling into groups, eg three sites from each section of coastline, or five people from each age range. Join us today, Society membership is open to anyone with a passion for geography, Royal Geographical Society
