[Knowledge Sharing 02] 知識分享 Reasons to reject a journal paper

Common error (issue) 2

SEM: Variance explanation (R square) is too low, < 0.2

In general, the value of R square is considered as follows: 0.19 (weak), 0.33 (moderate), and 0.67 (substantial) (Chin, 1998; Henseler et al., 2009). In practice, a typical marketing research study has a significance level of 5%, a statistical power of 80%, and R square values of at least 0.25 (Wong, 2013).

Reference

Chin, W.W. (1998), “The partial least squares approach to structural equation modeling”, in Marcoulides, G.A. (Ed.), Modern Methods for Business Research (pp. 295-358.), Erlbaum, Mahwah, NJ,

Henseler, J., Ringle, C., & Sinkovics, R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(2009), 277–320

Ken Kwong-Kay Wong (2013) Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques Using SmartPLS, Marketing Bulletin, 2013, 24, Technical Note 1 （citation: 3435 times）