I would be cautious with the "assumptions" described under the link that you provided. Several of those are incorrectly described and/or are not required in path analysis. For example, the statement that dichotomous variables are allowed as predictors, but dummy variables are not, is wrong and contradictory (dummy variables are dichotomous variables). Likewise, it is not true that interaction effects are prohibited. For example, you can analyze moderated mediation models using path analysis. I recommend reading a good textbook on path analysis and structural equation modeling that describes actual assumptions properly such as

Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.

Hoyle, R. H. (Ed.) (1995). Structural equation modeling. Concepts, issues, and applications. Thousands Oaks: Sage.

Kline, R. B. (Ed.) (2004). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford Press.

Raykov, T., & Marcoulides, G. A. (2006). A first course in structural equation modeling (2nd. Ed.). Mahwah, NJ: Lawrence Erlbaum Associates.

Schumacker, R. E., & Lomax, R. G. (1996). A beginner’s guide to structural equation modeling. Mahwah: Erlbaum.

(Note that there are newer editions available now for some of these books.)

Thank you Christian!

If your focus is on assumptions, Chapter 7, by Kline, of this just-published 2023 handbook may be what you want (though it is not on AMOS):

https://www.guilford.com/books/Handbook-of-Structural-Equation-Modeling/Rick-Hoyle/9781462544646/contents

Hope this helps.