R^2 OR Path Coefficient are used for LV contribution percentage ?
Posted: Mon Apr 30, 2018 12:22 pm
Dear All (I am using SEM, and SmartPLS the latest Version 3.xxxx)
Is it correct to sum the R^2 for several indigenous latent variables?.
The aim is to compare the contribution for certain path with other paths by summing the related R^2s?.
In other words: I have the following model: Path A consists of latent variables say (A1, A2), and Path B consists of (B1, B2) both of A's and B's latent variables lead to the final latent Variable C. as an example:
A1, A2 have R^2. B1, B2 have R^2. And finally C of course, have another R^2. in order to report the contribution percentage for the Branch A and Branch B towards C,
Can I use the comparison of the summation of R^2 for A's and B's to report how much each branch contribute towards the final one C and which branch has the highest contribution?
Or can I use the summation of Path Coefficients instead for each branch in this comparison?
The aim is to find the latent variables (or factors) level of contribution.
(any related References will be appreciated)
Is it correct to sum the R^2 for several indigenous latent variables?.
The aim is to compare the contribution for certain path with other paths by summing the related R^2s?.
In other words: I have the following model: Path A consists of latent variables say (A1, A2), and Path B consists of (B1, B2) both of A's and B's latent variables lead to the final latent Variable C. as an example:
A1, A2 have R^2. B1, B2 have R^2. And finally C of course, have another R^2. in order to report the contribution percentage for the Branch A and Branch B towards C,
Can I use the comparison of the summation of R^2 for A's and B's to report how much each branch contribute towards the final one C and which branch has the highest contribution?
Or can I use the summation of Path Coefficients instead for each branch in this comparison?
The aim is to find the latent variables (or factors) level of contribution.
(any related References will be appreciated)