Hi every one:
could you please help me what is the difference between loading and weigth in outer model?
Thank you
Nazila Babakhani
loading vs weigth
- Diogenes
- PLS Super-Expert
- Posts: 899
- Joined: Sat Oct 15, 2005 5:13 pm
- Real name and title:
- Location: São Paulo - BRAZIL
- Contact:
Hi,
Loading = correlations between reflective indicators and LV, they are used to compute the AVE and composite reliability.
Weight = weights to compute the LV score:
LV = w1 * x1 + w2 * x2 + w3 * x3
When the indicator are formative we assess the outer weights to have a idea of what is more important in the measurement.
Best regards,
Bido
Loading = correlations between reflective indicators and LV, they are used to compute the AVE and composite reliability.
Weight = weights to compute the LV score:
LV = w1 * x1 + w2 * x2 + w3 * x3
When the indicator are formative we assess the outer weights to have a idea of what is more important in the measurement.
Best regards,
Bido
Hi professor,
If one of the outer weights in a formative model is negative, is this then equal to that this indicator has negative correlation with the dependent variable? or how should such a negative weight be interpreted.
When just doing a linear regression with this one indicator and the indicator in the dependent variable, the regressions is positive, however, low R^2. The t-test value in SmartPLS for this one negative indicator, is however, above 1,96.
BR
If one of the outer weights in a formative model is negative, is this then equal to that this indicator has negative correlation with the dependent variable? or how should such a negative weight be interpreted.
When just doing a linear regression with this one indicator and the indicator in the dependent variable, the regressions is positive, however, low R^2. The t-test value in SmartPLS for this one negative indicator, is however, above 1,96.
BR