A major shortcoming of a correlational study is that even when a correlation between two variables is statistically significant, one cannot infer causation. For example, a significant correlation exists between life stress and depression, yet one cannot say for sure that life stress causes depression. Given this major shortcoming, what are some specific reasons one might still wish to conduct a correlational study, as opposed to an experimental study (from which one might infer a cause-and-effect relationship)?

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The Answer of A major shortcoming of a correlational study is that even when a correlation between two variables is statistically significant, one cannot infer causation. For example, a significant correlation exists between life stress and depression, yet one cannot say for sure that life stress causes depression. Given this major shortcoming, what are some specific reasons one might still wish to conduct a correlational study, as opposed to an experimental study (from which one might infer a cause-and-effect relationship)?

A Major Shortcoming of a Correlational Study Is That Even