When moderation is present, the strength or even the direction of a relationship between two constructs depends on a third variable. In other words, the nature of the relationship differs depending on the values of the third variable. As an example, the relationship between two constructs is not the same for all customers, but differs depending on their income. As such, moderation can (and should) be seen as a means to account for heterogeneity in the data.
I am struggling to understand how reliability measures work with Smart PLS path analysis, specially in when we deal withe moderation.
I am waiting for your assistant
I am not familiar with PLS, but generally
Let's assume you have three variables x, y, and z;
x is your independent, z is your dependent and y is your moderator variable.
if you want to test the role of the moderator which is y, you have to multiply it with the independent x*y and then run the regression again with the dependent. so first
you will run z, x and maybe y (depends on your objective)
then you will run z, x, y and the new created variable (x*y)
I would recommend that you go to Dr. James Gaskin's video series on youtube.com to show you how to deal with either moderation as an interaction or multi-group analysis.
Check this out:
https://www.smartpls.com/resources/ebook_on_pls-sem.pdf
DR. Ali
You have a look at YouTube lessons of James Gaskin or Rabee Shurafa From A_z that regarding to SmartPLS .
My all the Besr
Ali Ameen Through this question I learnt many things. Thank you Ataul Karim Patwary for sharing the link.
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