Hi Daichi,

It is more common to run simulations for power analysis and sample size determination for SEM models. Here's some general instructions for doing that in R (not specific to SEM, but still helpful): https://nickch-k.github.io/EconometricsSlides/Week_08/Power_Simulations.html

There is also the semPower package in R that does power analysis for SEM: https://cran.r-project.org/web/packages/semPower/vignettes/semPower.pdf

Hi, Pooya，

Thank you for the information about the sample sizes!

It was very helpful.

Best,

Daichi

Hi Pooya,

You can also take a look at my paper: Adapting the Ryff Scales of Psychological Well-being: a 28-Item Vietnamese Version for University Students.

Here is a quote:

Sample size and power

Sample size in PLS is commonly determined by either multiplying 10 times the scale with the largest number of formative indicators or by multiplying 10 times the largest number of structural paths directed at a particular construct in the structural model (Lowry and Gaskin 2014). This study had six structural paths (see figure 1) directed at one second-order construct, which means the study needed a minimum sample size of 60 (10 * 6). However, this method has been criticized for being too liberal.

I hope this helps,

Raul