What is survey bias and how to deal with it?

Survey bias is a systematic error that occurs during data collection in surveys, leading to distorted results and reduced reliability. Examples of such biases:

• Selection bias: the sample is not representative (for example, only active users are surveyed).
• Response bias: respondents give socially desirable answers or distort the truth.
• Question wording bias: the phrasing of questions influences responses.

How to combat survey bias:

• Use a random and representative sample.
• Formulate neutral, understandable questions.
• Anonymize surveys to reduce social pressure.
• Conduct pilot tests to identify issues.
• Analyze data for anomalies and adjust the sample or methodology.

Thus, it is important to carefully design the survey and control the data collection process to minimize distortions.