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Does the “non-independent" data structure defined in mixed models follow the “independency” defined by probability theory?

Dear all,

I am bit puzzled by definition of the ?nested data? or ?non-independent data? structure in the mixed model.
My questions are:

What?s the definition of the ?non-independent data? that is often referred in mixed modeling? Is it the same concept as ?independency? defined by probability theory, which is relevant by how the observations are selected, rather than how the observations look alike in the final sample

Thanks

Regards,
Chun