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Post by davidal » Thu Jul 10, 2008 2:05 pm

Hi everyone,

I'm actually testing a path model with smartpls and I would like to know how to estimate the Stone-Geisser Q2 of this model.

Moreover, I do not understand what rendundancy and communality stand for. How can these indices be interpreted ?

Thanks for answer.


Georg Puchner
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Post by Georg Puchner » Fri Sep 19, 2008 12:14 pm

Dear David,

you have to do the Blindfolding procedure in Smart PLS (take care of the right settings!). To interpret the results and the quality criteria (Q²/ cv-redundancy, cv-communality a.s.o) please read Tennenhaus/ Vinzi/ Chatelin/ Lauro 2005 (pp. 159-205) in Computational Statistics & Data Analysis.

Hope this helps.



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