The FMIN  table can be found under: View → Text Output → Model fit → FMIN

v FMIN

FMIN = Model fit index with bounds expressed as LO and HI, or lower and upper bounds of the 90% confidence interval for FMIN. A value closer to 0 represents a better fit of the model to the observed data, with 0 being a perfect fit.

F0 = Confidence interval

FMIN (Function Minimum Fit Function) is a measure of model fit in structural equation modeling (SEM) that represents the difference between the observed and predicted covariance matrix. The lower the value of FMIN, the better the fit of the model. However, there are no established reference values for FMIN, as the value of FMIN depends on the complexity of the model and the size of the sample.

Therefore, there are no specific reference values for FMIN, and it is generally used as a comparative measure to evaluate the fit of different models or modifications to a given model.

LO 90 = 0,022 Lower boundary of the 90% confidence interval of FMIN.

HI 90 = 0,066 Upper boundary of the 90% confidence interval of FMIN.

From the table above, we see that the Fit Index of the FMIN model for the given model is between 0,022 and 0,066 with a confidence level of approximately 90 percent, which represents an excellent fit of the model.