Traditional SEM overly focuses on LISREL equations to the detriment of dealing with measurement error
Multidimensional CFA with RStan
Possibility of heteroskedasticity is a good reason not to dichotomize a continuous variable for use as outcome in logistic regression.
Should you perform logistic regression on a dichotomized continuous variable when you have access to the continuous variable? I'm not sure.
Two group mean and variance comparisons
Simulating data from regression models
Theil-Sen regression in R
Linear regression with violation of heteroskedasticity with small samples
On the interpretation of regression coefficients