What is survey vs. human bias in research and how to minimize them?

Survey bias intersects with human bias in the research process. Here’re the 3 basics:

1. Bias is specifically described in the survey literature as the difference between the expected value (survey estimates) and the true value (actual population). You can reduce the gap by addressing errors in sampling, coverage, measurement and nonresponse.
2. Reduce human bias by keeping neutral and using inclusive language, engaging impartial reviewers, and practicing methodological disclosure. For example, the report writer might have a personal opinion about the issue under study, and inadvertently fit the analysis to a predetermined conclusion.
3. It may not be possible to avoid bias, but we can reduce them to prevent bad data and bad insights.

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