Researchers use hierarchical regression, cross-lagged panel designs, and structural equations modeling to partly resolve the problems associated with inferring causality from correlation.
a. Describe how each of these analyses can be used to untangle the direction of the relationships among correlated variables.
b. Explain why the causal inferences researchers draw from these analyses can be considered only tentative and speculative.