Biases in the survey

Biases in Surveys:

Biases in surveys refer to systematic errors or distortions in the collected data that result in a misrepresentation of the true characteristics of the target population. These biases can lead to inaccurate or misleading results, which in turn can impact the validity and reliability of the survey findings. It's important to identify and address biases to ensure that survey results accurately reflect the intended population and research objectives.

Types of Biases in Surveys:

1. Selection Bias: This occurs when certain groups within the target population are more likely to be included in the survey than others, leading to an unrepresentative sample. Selection bias can arise from non-random sampling methods or from undercoverage of certain subgroups.

2. Non-Response Bias: Non-response bias occurs when individuals who choose not to participate in the ____ __________ __________ ____ _______.
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