SAMPLING BIAS AND ITS IMPLICATIONS FOR RESEARCH VALIDITY
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Abstract
This paper explores sampling bias and its implications for research validity. Itstarts by explaining the concept of sampling bias. The paper further defines sampling bias inresearch as the collection of samples that do not accurately represent the entire group. Thepaper further explains the types of sampling bias and the causes of sampling bias. It alsodiscusses the sampling bias and implications for research validity with some examples.Furthermore, it looks at the approaches to mitigate sampling bias, which includes Probabilitysampling, Weighting and adjustments, response rate optimization, and pilot testing. Lastly, thepaper gave some recommendations for the best practices in sampling from a population in orderto avoid sampling bias.