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Sir, I am struggling how to perform: A) weighting each descriptive info of each case by these probabilities and running this for all the classes and compare them. B) Assign each case to the class with highest probability and calculating the descriptives on the cases assigned to each latent. Please t...

R² is the amount of explained variance, the variance represents the unexplained variance in FIMIX-PLS results. Thus, one minus the FIMIX-PLS variance should approximately provide you with the explained amount of variance.

2) Post hoc test (calculating power) Step 1: Follow step 1 written above Step 2: From Type of power analysis select Post hoc: Compute achieved power - given alpha, sample size, and effect size For the above hierarchical model, we calculate power as follows: Input: alpha err prob = 0.05, sample size ...

I thank Professor Diogenes Bido for his valuable help. If we do power analysis for the above model - 1) A priory test (estimating sample size) using G*Power 3 Step 1: Go or click Tests => Correlation and regression => Linear multiple regression: Fixed model, R2 deviation from zero Step 2: From Type ...

Dear Sir, I am analyzing a (3rd order) Hierarchical model with PLS. Deails of the model is following: 1) A 3rd order construct which reflects 4 second-order constructs. A ==> B A ==> C A ==> D A ==> E(4) [construct E should be called second or first-order, I am not sure] 2) 3 second-order constructs...

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, a...

How to compute statistical power of complete PLS model?

Plz clarify me.