Cross-lag correlations are important for answering/addressing which of the following rules of causation?
A) Rule of covariance: Is there covariance?
B) Rule of temporal precedence: Is there temporal precedence?
C) Are there third variables that could explain the relationship?
D) Both a and b
E) Both a and c

Question

Quizplus · Accepted Answer

Cross-lag correlations are used to determine the temporal precedence of variables in a relationship, which is part of the rule of causation that states that the cause must precede the effect. Additionally, they assess the covariance between variables, which is another aspect of the rule of causation. Therefore, the answer would be both a and b. The rule about third variables is not directly related to cross-lag correlations.

Cross-Lag Correlations Are Important for Answering/addressing Which of the Following