CFA-SEM - Association of Marketing Theory and Prac

Value 0.02 = 0.15 = 0.35 =
Effect Size sபைடு நூலகம்all medium large
(Cohen, 1988)
All rights reserved ©. Cannot be reproduced or distributed without express written permission
The formula for calculating the ƒ² effect size is shown on the next slide. Guidelines for assessing ƒ2 values for the exogenous latent constructs in predicting the endogenous constructs are:
1
from Sage, Prentice-Hall, SmartPLS, and session presenters.
Step 3: Assess the Level of R2
The R²values of the endogenous latent variables are available in the PLS Algorithm default report (PLS → Quality Criteria → Overview), as shown below. The R2 values of COMP (0.6309), CUSL (0.5620), and LIKE (0.5576) can be considered moderate. In contrast, the R²value of CUSA (0.2919) is rather weak.
R2included and R2excluded are the R² values of the endogenous latent variable when a selected exogenous latent variable is included or excluded from the model. The change in the R² values is calculated by estimating the PLS path model twice. It is estimated the first time with the exogenous latent variable included (yielding R2included) and the second time with the exogenous latent variable excluded (yielding R2excluded).
4
from Sage, Prentice-Hall, SmartPLS, and session presenters.
Calculating the Effect Size – ƒ 2
The f 2 effect size can be calculated as shown below. In the formula
Using the SmartPLS Software “Structural Model Assessment”
Joe F. Hair, Jr. Founder & Senior Scholar
All rights reserved ©. Cannot be reproduced or distributed without express written permission
The results of calculating the f 2 for the reputation model example
endogenous variables are shown in a later slide.
All rights reserved ©. Cannot be reproduced or distributed without express written permission
2
Note: calculation of Q2 value is shown in a later slide.
3
Step 4: Assessing Effect Size – ƒ 2
The ƒ² effect size is a measure of the impact of a specific predictor construct on an endogenous construct. In addition to evaluating the size of the R² values of all endogenous constructs, the ƒ² effect size can be calculated (it is not available from the SmartPLS software output). The ƒ² effect size measures the change in the R² value when a specified exogenous construct is omitted from the model. It is used to evaluate whether the omitted predictor construct has a substantive impact on the R² values of the endogenous construct(s).
All rights reserved ©. Cannot be reproduced or distributed without express written permission
2
from Sage, Prentice-Hall, SmartPLS, and session presenters.