Caution should be taken when creating claims of causality even though experimentation or time-ordered research reports have been done. The word causal model must be comprehended to suggest "a model that conveys causal presumptions", definitely not a model that creates validated causal conclusions. Gathering data at multiple time points and using an experimental or quasi-experimental design can help eliminate specific competing hypotheses but also a randomized experiment cannot exclude all such threats to causal inference. Good fit by a model consistent with one causal hypothesis invariably requires equally good fit by another model consistent with an opposing causal theory. No research design, in spite of how clever, will help distinguish such rival hypotheses, save for interventional experiments.
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