Comparing Explanatory Power of two Predictor Variables

Questions about the implementation and application of the PLS-SEM method, that are not related to the usage of the SmartPLS software.
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LS123
PLS Junior User
Posts: 1
Joined: Tue Dec 15, 2020 11:51 am
Real name and title: Lisa Stoll

Comparing Explanatory Power of two Predictor Variables

Post by LS123 »

Dear all,

I am facing an interpretation issue in my project.

RQ: I want to compare 2 predictor variables (A and B) in terms of their explanatory power towards a criterion variable C. Which one explains more? Which one is the better predictor?
My approach:
  • I calculated a full model with A, B as predictors and C as outcome variable. Then I compare effect sizes f2 of A and B.
  • I calculated seperate models for A and C and B and C. There, I analyze path coefficients and R2 as well as R2 adjusted.
Question:
  • Is this (R2 and effect sizes) enough to get an answer for my RQ?
  • Am I allowed to compare both R2 values of two seperate models under ceteris paribus conditions?
Thank you very much in advance for your thoughts!
ogleichner
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Joined: Thu Feb 18, 2021 10:19 am
Real name and title: Cathy
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Re: Comparing Explanatory Power of two Predictor Variables

Post by ogleichner »

can you make a specific example for your question? friv
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