from earlier excel sheets posted on this forum, I understand that that both-- the cross validated communality and the cross validated redundancy -- use 1-SSE/SSO. However, the the expected values are calculated differently for both.
Am I right in understanding that the Cross-validated communality gives the Stone-Geisser test criterion and the cross-validated redundancy gives the effect size, f^2 ( to test whether or not a variable should be included).
cross-validated communalities/Stone-Geisser
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yusofahmad
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Steffen Jahn
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Hi,
I understood these issues as following:
since the Stone-Geisser criterion (usually) refers to the structural model, Q² should be used representing the cv-redundancy (Chin 1998, 318).
The effect size results from R² without blindfolding.
Simpley use the formula (Chin 1998, 316):
f² = [R²(included ) - R²(excluded)] / 1 - R²(included)
Hth,
Steffen
I understood these issues as following:
since the Stone-Geisser criterion (usually) refers to the structural model, Q² should be used representing the cv-redundancy (Chin 1998, 318).
The effect size results from R² without blindfolding.
Simpley use the formula (Chin 1998, 316):
f² = [R²(included ) - R²(excluded)] / 1 - R²(included)
Hth,
Steffen
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yusofahmad
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cross-validated communality
If the cross-validated redundancy represents the Q^2, then what is the interpretation of the cross-validated communalities-- for indicators and constructs?