Systematic deviation from the true value in research findings. Cannot be eliminated, only managed through standardization and awareness. The goal is systematic bias (manageable) over unsystematic bias (chaos).
Definition: Systematic deviation from the true value in research findings. Cannot be eliminated, only managed through standardization and awareness. The goal is systematic bias (manageable) over unsystematic bias (chaos).
Bias in research refers to systematic deviation from the true value—factors that consistently skew your findings in a particular direction. It has become a buzzword, often misused by stakeholders who fear that any research decision introduces fatal flaws.
You will always introduce some form of bias into your research. It is unavoidable when human beings study human beings. The moment you decide to run a study, you have already introduced bias:
Since you cannot eliminate bias, you must manage it:
Do not be afraid of bias. Be afraid of inconsistency. By standardizing your process, you turn unpredictable noise into manageable, systematic error that still yields valuable insights.
Consistent, predictable bias that skews results in a known direction. Manageable because you can account for it in interpretation—far better than random, unsystematic error.
A systematic error introduced when your research sample does not represent the population you are trying to study. The most common and most overlooked threat to research validity.
The phenomenon where people change their behavior because they know they are being watched. A fundamental challenge in any research involving direct observation of participants.
The tendency of research participants to answer questions in ways they believe will be viewed favorably, rather than answering truthfully. Strongest with sensitive or self-image topics.
This term is referenced in the following articles:
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