Final answer:
Sampling sites selection in research should use random sampling methods to ensure the representativeness of the sample. These methods give each member of the population an equal opportunity to be included, thereby reducing the chances of bias and ensuring statistically valid results.
Step-by-step explanation:
The selection of sampling sites must be done carefully and often involves random selection to ensure that the sample is representative of the population. A random sample method gives each individual in the population an equal chance of being included in the sample. Convenience sampling, on the other hand, often produces biased data as it does not involve random selection and might choose participants that skew the results.
Various methods of random sampling exist, such as simple random sampling, stratified sampling, cluster sampling, and systematic sampling. The method chosen can depend on the research goals and the population's characteristics. However, regardless of the method, the objective remains the same: to obtain a sample that accurately reflects the population. The importance of randomization in experimental design can't be overstated, as it helps in achieving statistical independence between sampled units and ensures the results are valid and applicable to the population at hand.