Independent variables are the factors that researchers manipulate or change to observe their effects, while dependent variables are the outcomes or responses that are measured. The relationship between them is foundational in experiments, as the independent variable is presumed to influence or cause changes in the dependent variable. By analyzing this relationship, researchers can draw conclusions about cause-and-effect dynamics within their studies.
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