Sir, I have a query, can you please help me, my Current analysis on CB-SEM is based on responses of 390 respondents for 4 IV, 2 Mediators, and 2 DV. This is in the case of distinguishable dyad data(Actor and partner effects are there). The model fit indicators are all under acceptable thresholds. However, a significant p-value is being reflected, indicating that the null hypothesis (that the model fits the data perfectly) is rejected because the chi-square statistic is significant. How should I go about this?
Dont worry about Chi-Sqaure. It is sensitive to sample size. It is significant when the sample size is high. If all other indicators for fit are good, go ahead.
Sir, I have a query, can you please help me, my Current analysis on CB-SEM is based on responses of 390 respondents for 4 IV, 2 Mediators, and 2 DV. This is in the case of distinguishable dyad data(Actor and partner effects are there). The model fit indicators are all under acceptable thresholds. However, a significant p-value is being reflected, indicating that the null hypothesis (that the model fits the data perfectly) is rejected because the chi-square statistic is significant. How should I go about this?
Dont worry about Chi-Sqaure. It is sensitive to sample size. It is significant when the sample size is high. If all other indicators for fit are good, go ahead.
Prof, pls if my model fit indicators are not good, is there a way to address them in CB-SEM using smartpls?
Please check the Standardized Residual Covariance Table. Any values over 2 are problematic.
is CB-SEM suitable to use in moderated mediation models? Can I use both CB_SEM and SmartPLS to analyse the data?
Yes you can use CB-SEM for MM. No, use with PLS-SEM or CB-SEM.
Is it mandatory to report both fornell lacker criterion and htmt criterion for discriminant validity??
Can we report only one from both of these.
It is not mandatory.
Dear prof, Would you able to share your word file displayed in the video?
I hope you upload them soon on my website. For now you can rely on the video.