Controlling for a variable refers to the statistical technique used to account for the potential influence of one or more variables that could affect the relationship being studied between the independent variable(s) and the dependent variable. When researchers control for a variable, they aim to isolate the effect of the primary independent variable by removing the confounding effect of the controlled variable(s). This process is commonly used in research to ensure that the results reflect the true relationship between the variables of interest, rather than being distorted by other factors.
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