谢谢啊,我问了汉堡大学的那个老师了,他让我看看一篇文章来着。3个问题我在www.smartpls.de上面search了一下,他给了个链接。 Hi, See TENENHAUS, M.; VINZI, V. E.; CHATELIN, Y.; LAURO, C. PLS path modeling. Computational Statistics & Data Analysis, v.48, p.159-205, 2005. Available at: https://studies2.hec.fr/jahia/we ... ticles/PLS_PM_5.pdf In this article you will find a GoF index that is computed like a geometric mean between structural (R2) and measurement (AVE) model (reflective LV), but no threshold was proposed. Remembering that is recommended that: AVE > 0.5 R2 depends on the number of predictors, area of research, as Cohen (1977, p.79) had said: “A reader who finds what is here defined as ‘large’ is too small (or too large) to meet what his area of behavioral science would consider appropriate standards is urged to make more suitable operational definitions. What are offered below are definitions for use when no others suggest themselves, or as conventions.” Simple correlations (p.79-80): Small effect = 0.10 Medium effect = 0.30 Large effect = 0.5 And for multiple regression (or PLS-PM) we could use the recommendation in the page 413. Efeito pequeno f2 = 0,02 --> R2 = 2% Efeito médio f2 = 0,15 --> R2 = 13% Efeito grande f2 = 0,35 --> R2 = 26% COHEN, J. Statistical Power Analysis for the Behavioral Sciences. Revised Edition. New York: Academic Press, 1977. More answers in the article. Best regards, Bido |