f2 and q2
Posted: Sat Aug 31, 2019 3:10 pm
Hello everyone,
I ran the PLS SEM for effect size f2 and q2 and found it a little odd. Is it possible to have an inverse outcome between the explanatory power (f2) and predictive power (q2). For e.g:
Factor A f2 = 0.36, q2 = 0.12
Factor B f2 = 0.25, q2 = 0.15
Factor C f2 = 0.08, q2 = 0.21
Factor D f2 = 0.03, q2 = 0.26
How is it possible to get a low explanatory power, but high predictive power and vice versa? If it is not possible, where did I went wrong with the analysis? Feedbacks are greatly appreciated. Thanks.
I ran the PLS SEM for effect size f2 and q2 and found it a little odd. Is it possible to have an inverse outcome between the explanatory power (f2) and predictive power (q2). For e.g:
Factor A f2 = 0.36, q2 = 0.12
Factor B f2 = 0.25, q2 = 0.15
Factor C f2 = 0.08, q2 = 0.21
Factor D f2 = 0.03, q2 = 0.26
How is it possible to get a low explanatory power, but high predictive power and vice versa? If it is not possible, where did I went wrong with the analysis? Feedbacks are greatly appreciated. Thanks.