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I have a sample size of 160. I am putting age being a continuous variable in my study as a moderator. After running normal PLS algorithm i am getting 1.000 in outerloading for Age. But after bootstrapping, I am getting NaN value in the outerloading of age. Can someone explain the reason and suggest ...

Is it advisable to put more than one moderator influencing same paths IV->DV in same model?

Is MGA applicable only for groups which are equally divided? I have a categorical variable gender which consists only two groups male and female. But the number of females and number of males is not equal can I still apply MGA. Similarly I have many other categorical variables which are binary(0/1) ...

I am getting Nan value instead of 1.000 for single indicator construct which is a categorical variable. I humbly request to kindly explain what could be the reason for this?

I wish to ask whether the correlation of IV and DV latent variable scores generated in PLS algorithm in smart pls 4 be always equal to path coefficients of the IV->DV relationship even after the addition of control variable or will it change after addition of control variables in the model. I have r...