Confounding variables are extraneous factors that can influence both the independent and dependent variables in an experiment, potentially leading to inaccurate conclusions about the relationship between them. These variables can create misleading associations or obscure true relationships, making it difficult to determine causality. Identifying and controlling for confounding variables is essential in experimental and correlational research to ensure that observed effects can be attributed specifically to the intended manipulations or measurements.
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