I wish to find out how changing the value of my manifest variable by one unit will affect my overall dependent variable. Is it appropriate to use outer weights and path coefficients for this purpose or are they standardized estimates which can be used only on standardized data?
Regards,
prediction using PLS
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Hi,
I think that should work. The outer weight of your MV will tell you how much the independent LV will change if your MV moves by one std-dev. The regression coefficient will then allow you to calculate by how much your dependent LV should go up.
However, if your independent LV is operationalized with reflective indicators the logic of this analysis is flawed. Since all indicators of the LV should covariate, a 1 std-dev change in one indicator should also show changes in the others.
My 2 cents anyways,
Stefan
I think that should work. The outer weight of your MV will tell you how much the independent LV will change if your MV moves by one std-dev. The regression coefficient will then allow you to calculate by how much your dependent LV should go up.
However, if your independent LV is operationalized with reflective indicators the logic of this analysis is flawed. Since all indicators of the LV should covariate, a 1 std-dev change in one indicator should also show changes in the others.
My 2 cents anyways,
Stefan