Questions on AVE, composite models, and moderator variable
Posted: Sat Jan 05, 2019 9:52 am
Hello mates
1) A LV has only two indicators, and one of them with an item loading below 0.707, but above 0.600 (0.689). As far as I know, the researcher choose whether keeping or not this indicator (in example, you may keep it when the study is exploratory). An objective way is to look at AVE, so that if it increases after dropping the item, then, the construct validity improves. The problem here has to do with LV with only two indicators: if you remove one, AVE becomes 1. Should I take a look to other values to better take this decision (CR, R2...) or just I decide what to do with the 0.689 item loading?
2) In a composite model (formative), the first step is to assess the convergent validity. What should I do if there is no reflective construct to check the correlation between formative and reflective constructs? I have read a paper (well-published) in which authors indicate that, if this situation occurs, one can proceed to the next step (collinearity issues).
3) In a model with two IVs and one DV, I want to check the moderating effect of one of the IVs on the relation between the other IV and the DV. All structural paths are significant before and after the inclusion of the iteration effect (including the iteration path). Based on this, I think there are some reasons to think there is a moderator.
However, what happen if the two IVs are correlated? (0.20 in this case) Should I take care of this?
Thank you in advance and have a happy new year
1) A LV has only two indicators, and one of them with an item loading below 0.707, but above 0.600 (0.689). As far as I know, the researcher choose whether keeping or not this indicator (in example, you may keep it when the study is exploratory). An objective way is to look at AVE, so that if it increases after dropping the item, then, the construct validity improves. The problem here has to do with LV with only two indicators: if you remove one, AVE becomes 1. Should I take a look to other values to better take this decision (CR, R2...) or just I decide what to do with the 0.689 item loading?
2) In a composite model (formative), the first step is to assess the convergent validity. What should I do if there is no reflective construct to check the correlation between formative and reflective constructs? I have read a paper (well-published) in which authors indicate that, if this situation occurs, one can proceed to the next step (collinearity issues).
3) In a model with two IVs and one DV, I want to check the moderating effect of one of the IVs on the relation between the other IV and the DV. All structural paths are significant before and after the inclusion of the iteration effect (including the iteration path). Based on this, I think there are some reasons to think there is a moderator.
However, what happen if the two IVs are correlated? (0.20 in this case) Should I take care of this?
Thank you in advance and have a happy new year