Should A Rule of Thumb be used to Calculate PLS-SEM Sample Size

Partial least square structural equation modeling (PLS-SEM) is more commonly used in marketing research because small sample sizes can be used. The main advantage that the rule of thumb often to determine size, but results may underpowered. Therefore, appropriate size still required reach acquired power 0.80, which should adequate avoid false positive and adverse effects arising from are too large or small. This investigates impact different on analysis, effect significance level model fitness parameter estimation process. Many methods generate study sizes, such as minimum R2, ten-time rule, inverse root method, Marsh et al. Soper Yamane method. R2 inappropriate for PLS-SEM. However, findings have shown PLS-SEM effective with significant than generated by rule-of –thumb methods. this was 50, a 0.81 an (f2) ranging between 0.437 0.506.