Hello to all,
I´m new at SmartPLS. I´ll appreciate if someone can help me with some basic doubts.
Can anyone explain me, in easy terms, how LV’s scores are calculated?
They are, simply, the mean of the MV´s?
How outer weights are calculated?
Using a multiple regression - were the LV is the dependent variable and the MV’s are the independent variables - or by using several simple regressions - were the LV is the dependent variable and the MV’s, one at a time, are the independent variable.
Best regads.
Marco Almeida
How LV's scores are calculated
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rui_almeida30
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How LV's scores are calculated
Marco Almeida
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Diogenes
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Hi,
The “partial” means that in the first step the measurement model will be estimated and the results will be used in the next step to compute the structural model, and this continues until the convergence.
Having the LV scores and the MV values, the outer weights will be computed as multiple regression (formative measurement model) or simple regressions in reflective measurement model.
Best regards,
Bido
The “partial” means that in the first step the measurement model will be estimated and the results will be used in the next step to compute the structural model, and this continues until the convergence.
Having the LV scores and the MV values, the outer weights will be computed as multiple regression (formative measurement model) or simple regressions in reflective measurement model.
Best regards,
Bido
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rui_almeida30
- PLS Junior User
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- Joined: Wed Sep 30, 2009 7:40 pm
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Thanks for your response Professor Bido,
Now I understand how outer weigths are calculated.
Since I have a reflexive model, PLS runs several simple regressions.
In those regressions LV is the Dependent Variable, and the Mv's (one at a time) are the independent variable. Isn't it?
In reflexive model imagine you have a LV with 2 MV's.
It's correct to say that: LV=w1*MV1+w2+MV2?
Where w is the outer weights?
Or in reflexive models we should only interpret the outer loadings?
Best Regards,
Marco Almeida
Now I understand how outer weigths are calculated.
Since I have a reflexive model, PLS runs several simple regressions.
In those regressions LV is the Dependent Variable, and the Mv's (one at a time) are the independent variable. Isn't it?
In reflexive model imagine you have a LV with 2 MV's.
It's correct to say that: LV=w1*MV1+w2+MV2?
Where w is the outer weights?
Or in reflexive models we should only interpret the outer loadings?
Best Regards,
Marco Almeida
Marco Almeida
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rui_almeida30
- PLS Junior User
- Posts: 5
- Joined: Wed Sep 30, 2009 7:40 pm
- Real name and title:
Hello to all,
Imagine that, in a reflexive model, you have
LV1= 0.60MV1+0.40MV2.
Can we say that if MV1 increase by 1 unit, them LV1 will increase by 0.6 units?
In a reflexive model, we should report the outer weigths or the outer loadings?
In some reports I saw people analysing outer weigths, is that correct?
I usualy interpert the loadings.
Thank you very much in advance.
Imagine that, in a reflexive model, you have
LV1= 0.60MV1+0.40MV2.
Can we say that if MV1 increase by 1 unit, them LV1 will increase by 0.6 units?
In a reflexive model, we should report the outer weigths or the outer loadings?
In some reports I saw people analysing outer weigths, is that correct?
I usualy interpert the loadings.
Thank you very much in advance.
Marco Almeida