Search found 5 matches

by MarketingStudent
Sat Feb 19, 2011 1:28 am
Forum: SmartPLS 2 - FAQ
Topic: effect size (f2) and predictive relevance (Q2 and q2)
Replies: 20
Views: 151104

Bootstrapping after Blindfolding? See Tenenhaus et al.(2005)

Dear Professor Ringle, given my complex model I cannot apply the q² formula to calcualte the effect size of Q² , since I have several dependent variables etc. When applying the formula and excluding the variable that is located in the middle of my model (being exogenous and endogenous at once) I can...
by MarketingStudent
Mon Feb 14, 2011 10:08 pm
Forum: Method and application
Topic: low path coefficients with acceptable R²?
Replies: 2
Views: 2587

Thank you very much Professor Bido!
by MarketingStudent
Sat Feb 12, 2011 3:40 am
Forum: SmartPLS 2 - FAQ
Topic: Index Construction
Replies: 6
Views: 4746

You meant "Manifest variable scores" instead of LV

Dear Professor Bido, to create an index of my three-item construct, I used the manifest variable scores of SmartPLS, created three new variables in my dataset of SPSS with these manifest variable scores and computed a new variable (my index variable) by creating the arithmetic mean of the three vari...
by MarketingStudent
Fri Feb 11, 2011 3:37 pm
Forum: SmartPLS 2 - FAQ
Topic: effect size
Replies: 15
Views: 15641

Effect size or not;Cohen's formula not suitable for my model

Dear all, dear Mr. Nitzl, you wrote that it might not be necessary to report the f² for Reem's model and that R² is enough. I am also not sure, if the calcualtion of the f² in my model makes sense.It's similar, but a bit different from the models described above. A --> B--> C B--> D B--> E The relat...
by MarketingStudent
Fri Feb 11, 2011 2:27 pm
Forum: Method and application
Topic: low path coefficients with acceptable R²?
Replies: 2
Views: 2587

low path coefficients with acceptable R²?

Hi everybody, I am at the end of my analysis, but stucked with the interpretation. Could you give me a hint on how to interpret very low, but significant path coefficients (0.11) in relation to dependent variables with R squares that still reach the minimum level of 0.19? --> Why are the path coeffi...