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There are five latent variables (three independent and two dependent) which constitute a PLS-SEM model.
A single survey was conducted; however, the questions were asked twice to the same participants. The items were worded identically, only the subject of the sentence was replaced, to represent two different aspects.
In summary, there is a single model with two datasets, which can be paired as the two variants were measured at the same time.
I would like to ask two questions:

  1. Is there any way to statistically prove the difference or similarity between the correspondent latent variables (pairwise) separately?
  2. Is it possible to perform a similar procedure for the SEM models to assess the difference or similarity in the results?

Thank you very much for your help and advice in advance!

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  • $\begingroup$ You can look for articles about longitudinal CFA / measurement invariance. The same methods apply to any kind of repeated measures, not just occasions. $\endgroup$ Commented Apr 20, 2022 at 12:12
  • $\begingroup$ Thank you very much! According to your suggestion, I used invariance measurement based on the following description. $\endgroup$ Commented May 11, 2022 at 10:11

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