Hi,
I have a question concerning SmartPLS.
'Satisfaction' and 'Loyalty' are my latent variables in my model.
I have made a model with these effects:
Image > Loyalty
Service > Satisfaction
Service > Loyalty
and so on..
But..
I have 3 questions concerning the category "Image".
E.g. "Do you find xxx innovative?" (The respondent uses a 7 point scale to answer this).
And I have another question concerning how creative the xxx is.
I want to know how much effect 'creative' and 'innovative' are concerning 'Image'. Which of the two dimensions (creative and innovative) should be my focus?
Image is to wide so I need to split the dimension in some parts so I can concentrate my focus on the section of Image that have the best effect on e.g. loyalty or satisfaction.
Please help.
What do I have to do? :)
How each question affect the latent variable
- Diogenes
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Hi Dorthe,
Usually our focus is on latent variables and path coefficients.
If you are using reflective indicators:
They could be replaced by others.
For this reason, you should think more in LV terms than indicators.
If you are using formative indicators, they could not be replaced by others.
And we could use the “outer weights” as measures of importance of the indicator.
But, if there are some multicollinearity between formative indicators, these outer weights are not interpretable (as importance). What is the case with reflective indicators.
Best regards,
Bido
Usually our focus is on latent variables and path coefficients.
If you are using reflective indicators:
They could be replaced by others.
For this reason, you should think more in LV terms than indicators.
If you are using formative indicators, they could not be replaced by others.
And we could use the “outer weights” as measures of importance of the indicator.
But, if there are some multicollinearity between formative indicators, these outer weights are not interpretable (as importance). What is the case with reflective indicators.
Best regards,
Bido