In an experiment, variables other than the intended independent variable that may influence the outcome measurement include confounding variables, which can obscure the true relationship between the independent and dependent variables. Additionally, extraneous variables, such as participant characteristics or environmental factors, can introduce variability and bias. Systematic errors, like measurement inconsistencies, and random errors can also affect results. Controlling for these variables is crucial to ensure the validity and reliability of the experimental findings.
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