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Dear Dr. Becker

Thank you very much. Your comments are greatly appreciated.
I like the suggestion to use bootstrap MGA as robust test.

Regards
Dasun

Dear Dr. Becker

Thank you very much. I greatly appreciate your explanations; they have been incredibly beneficial.

Reagrds
Dasun

To be honest, I don't understand what you mean with "the significance level automatically changes from 0.017 to 0.02." If you run a (preferably permutation-based MGA), you will get a p-value for the difference in parameter between groups. You usually conclude that the difference is signif...

Dear Dr. Becker Thank you very much for the reply. The paper you referred Cheah et al. (2023) uses the OTG method after the MICOM procedure. However, some sources say to conduct "Pairwise comparison and familywise error correction". Also, how to decide what procedure to run in Smart PLS (M...

Hi, I am currently trying to do MGA for three groups. I have conducted MICOM procedure and only partial measurement invariance was established as equal mean values and variances is not available. I am bit confused about the next step. Should I run, Permutation MGA or Bootstrap MGA next? Also, I woul...

Dear everybody, I am doing MICOM procedure of MGA (Multigroup analysis) for more than three groups. Due to a recommendation from a paper, the setting specifications: p value should be made adjustment (Bonferroni corrections): 0.05 to 0.0169524 when executing the permutation test. However, in Permut...

I think the difference lies exactly in the difference between "Linear multiple regression: Fixed Model, R2 deviation from zero" and "Linear multiple regression: Fixed Model, single regression coefficient." The first is the power of a regression models' F-test to find that the R²...

In principle, you are on the right track. In the second edition of the book, the explications have been slightly modified. Here, one looks at an effect size level and the required sample size. The attached pictures provide further explications. Please note that these are technical considerations. R...