Sampling Methods

This GCSE Geography quiz looks at sampling methods. Sampling is an essential technique in any geographical investigation, whether it is at school, in higher education or being carried out by a professional geographer. It is a short-cut method for investigating a large population. It is not usually practical to measure every single item within the parent population or area, so by sampling, it is possible to get statistically valid data that represents the whole. A key fact to remember about sampling is that it is never one hundred percent accurate, but if carried out well, it will give a very good estimate of what has been studied.

Sampling can be either random or systematic. If you have a study area that appears to be similar throughout e.g. a grassy meadow or a housing estate, you would choose to use random sampling as you are assuming that the conditions do not change from one part of the area to the next.

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When choosing where to sample, it should be done by generating two random numbers to use as co-ordinates. If you choose the random areas, it could introduce some bias to the results. In a natural environment, you could measure distances from a set starting point in the corner of the sample area or, when working in an urban environment, the random number pairs could be OS grid references. You can use the co-ordinates in different ways - point sampling, line sampling or area sampling. For point sampling, you would make your observations at the location described by the co-ordinates. For line sampling, you would generate a second set of co-ordinates and sample along a line joining the two points. For area sampling, you would use the co-ordinates to position your quadrat.

Where there is a difference across a sample area (termed an environmental gradient), systematic sampling is the method used. An example of this would be a school hockey pitch. Usually, the area around the goalmouth is trampled and mainly bare of plants. The most common methods are to use a line transect or a belt transect and sample either continuously or at regular intervals (interrupted transect). In the case of the hockey pitch, using continuous or interrupted belt transects that include the goalmouth areas or stratified systematic sampling (see next paragraph) would be appropriate. Other forms of systematic sampling would be every 10th house or every 5th person in the street. It could also be time based e.g. every 15 minutes during the day

Where there are significantly different parts to the study area (known as subsets), it is important to make sure that the samples you take are representative of each part. This is known as stratified sampling and can be either systematic or random. Examples of subsets in population studies would be age group or social group. An example of a subset in an environmental study would be a clearing in a woodland. The number of samples taken from each subset needs to be proportional to the whole survey.

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  1. What is objective data?
    It is data that can be measured using an instrument e.g. tape measure, quadrat or by counting
  2. Which of the following sampling methods would be the least practical for sampling the beetles living in a public park.
    It would take a long time to complete (unless it was a very small public park!) and you would be very lucky indeed if a beetle crossed your transect line exactly at the moment you were looking at that point because they move around. Line transects are fine for vegetation surveys
  3. Subjective data depends on which of the following?
    An example of subjective data would be whether someone liked or disliked the design of a new bridge that had been built in the area of the survey
  4. A quadrat could be used for environmental sampling in which of the following situations?
    Quadrats are used in many environmental surveys
  5. Systematic sampling is:
    Systematic in this sense indicates that samples will be taken at regular intervals
  6. Sampling is:
    It is the most important part of fieldwork since it provides the data for your analysis and conclusion
  7. Which of the following is a correct statement about random sampling?
    Random sampling is most appropriate for unifom areas and the sample locations should NEVER be chosen by the person doing the survey
  8. When using a quadrat for random sampling, the co-ordinates give the position of which corner of the quadrat?
    In other words, the bottom left corner as you look at the quadrat
  9. What is sampling?
    Without sampling, studying a population or environment would usually take too much time
  10. Which of the following would require stratified sampling?
    The word stratified comes from the latin 'stratus' meaning 'layer'

Author: Kev Woodward

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