When I provide a covariance matrix for my model, and I later request the sample statistic for the observed data, there are notable discrepancies (after the thrid decimal).
I define the model as follows:
fit_kongenerisch <- cfa(kongenerisch, sample.cov = input_matrix, sample.nobs = 203, estimator = "ML" )
then get the sample statistic:
As I understand it, the sampstat should provide the covariance matrix from the observed data. When I directly provide the covariance matrix when running the model (which I do with sample.cov = input_matrix // input_matrix is a probability based covariance matrix I calculated), shouldnt input_matrix and the sampstat matrix be
Or am I missing something?
What creates these discrepancies?