The type of variable that can contaminate the results of an experiment and may be an alternative to a causal relationship is known as a(n):

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An extraneous variable is a type of variable that is not being measured but can affect the outcome of the experiment. It can contaminate the results of an experiment and produce an alternative explanation for the causal relationship between the independent and dependent variables. Predictor variables (A) are variables used to predict the outcome of the dependent variable in correlational research, while criterion variables (B) are variables used to measure the dependent variable in an experiment. Antecedent variables (D) are variables that exist before the independent variable is manipulated and can influence the dependent variable.

The Type of Variable That Can Contaminate the Results of an Experiment