"The method used to select your [survey] participants will affect your [statistical] results."
In other words, when you want to conduct a trial (such as an experiment or survey) for which you must select participants, then the procedure used to determine who your subjects (participants) will be can have a profound impact upon your data results. For example, if you fail to sample from the entire population, you will only obtain data applicable to a subset of the universe. Similarly, if you select participants systematically, then you are likely to generate data that is not as scientifically reliable or accurate as would be the case with random sampling.
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It would be better phrased:
"The method used to select your [survey] participants will affect your [statistical] results."
In other words, when you want to conduct a trial (such as an experiment or survey) for which you must select participants, then the procedure used to determine who your subjects (participants) will be can have a profound impact upon your data results. For example, if you fail to sample from the entire population, you will only obtain data applicable to a subset of the universe. Similarly, if you select participants systematically, then you are likely to generate data that is not as scientifically reliable or accurate as would be the case with random sampling.