The fit statistics indicate that your model does not fit the data very well. The parameter estimates and their associated tests of statistical significance therefore may be untrustworthy.

Thank you for your answer. So What are the solutions to select a more accurate model?

Parami Abeyrathna I suggest checking the modification indices (https://lavaan.ugent.be/tutorial/modindices.html) to see possible ways to improve the model. At this point, it's important to remember that any modification must be justified from a theoretical standpoint. If the indicators for the validity and reliability of the measurement scales used (AVE and Omega) do not reach an adequate value, another option might be to see which items you can remove in your measurement models. Regarding this, you can check the individual reliability of each item and analyze the standardized residual matrix (https://lavaan.ugent.be/tutorial/inspect.html#:~:text=The%20resid()%20or%20residuals,covariance%20matrix%20and%20mean%20vector.&text=The%20lavResiduals()%20gives%20more%20extensive%20information%20about%20the%20residuals.).

Thank you so much

I could finally improve fitness index of CFA in CFI and GFI to standards. Added modifications for the final output. Thanks for the guide