How can you compensate for confounding?
How do you adjust a confusing variable?
CONTROL CONFUNDING Confounding, unlike other types of bias can be controlled by using randomization, restriction or matching after a study has been completed.
How does randomization reduce confusion? Randomization is an experimental design technique that allows control over variables that are not (or should not) be constant. This minimizes the risk of confounding by creating groups that are comparable to confounding variables.
People often ask: How do you manage confounding?
- Randomization (aim: random distribution of confounders among study groups)
- Restriction (restrict entry for study of individuals with confounding variables - risk bias in itself
- Matching (of individuals or groups) aims for equal distribution of confounders
What does validity look like when there are confounding variables?
Confounding variables, also known as third variables, are variables that the researcher did not control or eliminate. They can be detrimental to the internal validity of an experiment.
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