Power Analysis

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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robdr
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Power Analysis

Post by robdr »

Hello,

I'm trying to perform an post-hoc power analysis for my thesis reserach. I downloaded G*power, choose the multiple regression analysis. But I'm not sure which number should be used as the number of indicators.

I have a model with one dependent LV and several independent LVs. And these independent LVs are in turn again predicted by some other LVs.

let's say my model looks like this:

A->U->X
B->Y->X

What should I use as the number of indicators? 2 or 4? Thank you very much for your help!
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Diogenes
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Post by Diogenes »

Hi Rob,

use the maximum number of arrows that arrives to a LV (formative indicators OR other LVs).
In your example the maximum is 2 ( --> X) predictors.

Best regards.
Bido
robdr
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Post by robdr »

Dear Professor Bido,

Thank you very much for your help!

Regards, Rob
gopshal
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How to compute statistical power of complete PLS model?

Post by gopshal »

How to compute statistical power of complete PLS model?

Plz clarify me.
gopshal
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Computing statistical power

Post by gopshal »

How you calculated statistical power of whole PLS model?

If you use G*Power, what we should select?

Test family: t test?
Statistical test: Linear multiple regression: Fixed model, single regression coefficient?
Type of power analysis: Post hoc: Compute achieved power - given alpha, sample size, and effect size?

Input Parameter

Tail(s): One
Effect size f^2: ? (what we should give in this input)
Alpha err prob: ? (what we should give in this input)
Total sample size: (this is fine)
Number of predictor: Largest number of IV impacting a DV.

What should be the above parameter? Where we can get it from our SmartPLS result?

Plz clarify me, I am struggling since long.

Thank you.
dibakar
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Post by dibakar »

dibakar
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Post by dibakar »

dibakar
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Post by dibakar »

For post hoc power analysis for rejected hypothesis some suggest that effect size should be the correlation coefficient. Is that correct?
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