Dears,
please I have a model in smartpls but I'm stacked at the end I couldn't have a good model fit and I wonder what about the SRMR= 0.086 (Saturated model) and SRMR= 0.157 (Estimated Model), which value should I take in SMART PLS .
Regards
Cristian Ramos-Vera Gracias, si podrias darme la referncia de eso par poder apoyar mi trabajo
The distinction of estimated and saturated models in PLS-SEM is in its very early stages. Future research must provide detailed explanations and recommendations on the computation, usage and interpretation of these outcomes.
The saturated model assesses correlation between all constructs. The estimated model is a model which is based on a total effect scheme and takes the model structure into account. It is hence a more restricted version of the fit measure.
Researchers often struggle to choose between the estimated and saturated model when trying to report the fir of a PLS path model. At this stage, PLS-SEM literature is very vague on the use of fit criteria in general and, in specific, the choice between the estimated and saturated model. However, [[[the estimated model seems to be a reasonable choice]]], if a researcher makes the questionable decision to report the fit results of the PLS path model.
please see:
https://www.smartpls.com/documentation/algorithms-and-techniques/model-fit
Following are the values of Model fit @PLS
SRMR Saturated (0.047), Estimated (0.192)
d_ULS Saturated (1.909), Estimated (31.757)
d_G Saturated (1.302), Estimated (2.091)
Chi-Square Saturated (4430.101), Estimated (5788.978)
NFI Saturated (0.839), Estimated (0.789)
What interpretation could be drawn from this. Kindly suggest