For the forth misidentification, we regressed Y1 on X1, regressed EN7-EN12 on X1, and covaried the residuals of Y1 and EN7-EN12 using Lavaan (illustrated in the Figure below). This was replicated 10,000 times – using R-loops – while randomly varying the effects for each causal pathway between the constructs in the network excluding the direct effect of X1 on Y1 (true direct causal effect = 1.00; N = 10,000; R-Code).
As illustrated in the figure below, the misidentification of the structural association where Y1 was regressed on X1, EN7-EN12 was regressed on on X1, and covaried the residuals of Y1 and EN7-EN12, produced an average slope coefficient of b = 27.96. This suggests that a 1 point increase in X1 directly causes a 27.96 increase in Y1, on average. As a reminder, the true slope coefficient is 1.00.
