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A limitation of causal modeling is that Group of answer choices Even when all predicted paths are significant, there is an overall good fit, and
A limitation of causal modeling is that Group of answer choices Even when all predicted paths are significant, there is an overall good fit, and the significance test is as expected, it is possible that there are other patterns of causality that work better. Only the cause is examined, and comparisons and linkages between the different variables are impossible. It cannot be done very easily on a computer. Path diagrams are rarely accurate and often give a false picture, tending to suggest that the true linkages are among the measured variables, whereas they are usually among the latent variables
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