Many times, your research design and research methodology can impose sampling bias on your data gathering process, and alter research outcomes. Sampling bias is a common pitfall because, many times, it happens unintentionally that is, without the knowledge of the researcher. When you gather data in a way that some members of the intended population have a lower or higher sampling probability than others, the result is sampling bias. Sampling bias happens when the data sample in a systematic investigation does not accurately represent what is obtainable in the research environment. In this article, we will discuss different types of sampling bias, explain how you can avoid them, and show you how to collect unbiased survey samples with Formplus. Understanding sampling bias is important for every researcher as it would help you avoid this common pitfall. It occurs when you do not have a fair or balanced presentation of the required data samples while carrying out a systematic investigation. Sampling bias is a huge challenge that can alter your study outcomes and affect the validity of any investigative process.
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