A method for inferring causal relations in correlational research is described. A Monte Carlo experiment demonstrates the ability of the method to differentiate simulated independent and dependent variables under certain conditions. These conditions include use of independent variables orthogonal to each other and account for all of the variance of the dependent variable. The method is potentially a substantial improvement over techniques currently used to infer causality in that it assesses the existence and direction of causal relations between variables in correlational contexts.
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