PLS-MGA - Comparing More Than Two Groups
Posted: Fri May 29, 2020 10:05 am
Hi forum members,
I have two questions about comparing more than two groups in PLS-MGA.
1. How can I calculate the significance of group difference?
I understand that for comparing more than two groups, I should go with OTG or pairwise comparison given that the embeded MGA algorithm only allows to compare two groups. I tried the OTG R Code, but I have no idead how to apply that code on my own data. As Prof. Ringle answered in another post (viewtopic.php?f=12&t=16122&p=27484&hili ... sis#p27484), I also can try pairwise comparison with a control of familywise error rate, and do 6 comparison in case of 4 groups.
However, may I ask the detail process to do pairwise comparison in SmartPLS 3? Which test should I run to get the path coefficient and significance? By running permutation test of each two groups or MGA algorithm or just running the normal PLS alogrithm for each group and calculate the difference manually?
2. What if a sample size of a group is lower than the minimum required sample size of the model?
I have four observed groups in my dataset, but only two of them match the minimum required sample size of the model. I know I should remove these segments, but I was wondering Is there any way to keep them as they are important for the research objective?
I really appreciated for your help.
I have two questions about comparing more than two groups in PLS-MGA.
1. How can I calculate the significance of group difference?
I understand that for comparing more than two groups, I should go with OTG or pairwise comparison given that the embeded MGA algorithm only allows to compare two groups. I tried the OTG R Code, but I have no idead how to apply that code on my own data. As Prof. Ringle answered in another post (viewtopic.php?f=12&t=16122&p=27484&hili ... sis#p27484), I also can try pairwise comparison with a control of familywise error rate, and do 6 comparison in case of 4 groups.
However, may I ask the detail process to do pairwise comparison in SmartPLS 3? Which test should I run to get the path coefficient and significance? By running permutation test of each two groups or MGA algorithm or just running the normal PLS alogrithm for each group and calculate the difference manually?
2. What if a sample size of a group is lower than the minimum required sample size of the model?
I have four observed groups in my dataset, but only two of them match the minimum required sample size of the model. I know I should remove these segments, but I was wondering Is there any way to keep them as they are important for the research objective?
I really appreciated for your help.