I think it is due to a problem with data. I am also looking for the answer

I think it is due to a problem with data. I am also looking for the answer

Hi Winaj Saajan ,

as an alternatively, you can use RMS_theta or exact fit test.

RMStheta values below 0.12 indicate a well-fitting model, whereas higher values indicate a lack of fit (hair et al 2017, p, 193-194)

also, you can read these:

1. https://www.smartpls.com/documentation/algorithms-and-techniques/model-fit

2. https://books.google.com.tr/books?hl=tr&lr=&id=JDWmCwAAQBAJ&oi=fnd&pg=PP1&dq=a+primer+partial+least+squares+structural+equation+modeling&ots=ejHQGmCS1J&sig=kj3PdazzvDstI5LW4-olD4zdxx0&redir_esc=y#v=onepage&q=a%20primer%20partial%20least%20squares%20structural%20equation%20modeling&f=false

Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.

Best,