PLSpredict for assessment of the model's predictive power
Posted: Wed Oct 09, 2019 3:14 pm
Dear all,
I want to assess predictive power of my model. It has 5 latent variables, and the maximum number of arrows pointing at one construct is two. I have around 120 observations in my sample. I'm not sure how many folds should I choose. It is suggested in the literature (Hair j., Risher J., Sarstedt M., Ringle C. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24.) that every fold(subset) has to meet minimum sample size guidelines. Since my sample is modest, is it enough to use, for example, only 3 folds? Or should I use more, 4 or 5, or even more... Also, the results differ depending on the number of folds I set. So I don't know which number of folds to chose.
Thank you in advance for your time and answers.
Kind regards,
Katarina
I want to assess predictive power of my model. It has 5 latent variables, and the maximum number of arrows pointing at one construct is two. I have around 120 observations in my sample. I'm not sure how many folds should I choose. It is suggested in the literature (Hair j., Risher J., Sarstedt M., Ringle C. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24.) that every fold(subset) has to meet minimum sample size guidelines. Since my sample is modest, is it enough to use, for example, only 3 folds? Or should I use more, 4 or 5, or even more... Also, the results differ depending on the number of folds I set. So I don't know which number of folds to chose.
Thank you in advance for your time and answers.
Kind regards,
Katarina