Holding all variables constant except for the one being tested is crucial because it ensures that any observed effects can be attributed directly to the variable of interest. This minimizes confounding factors that could skew results, leading to inaccurate conclusions. By controlling other variables, researchers can establish a clear cause-and-effect relationship, enhancing the validity and reliability of the experiment.
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