Thank you Prof. Ringle.
Then, insignificant total effects are excluded from the IPMA analysis, focusing on the significant ones.
Best regards.
Search found 39 matches
- Thu Aug 22, 2019 12:37 pm
- Forum: Method and application
- Topic: IPMA - Include LVs with non-significant total effect ?
- Replies: 2
- Views: 4254
- Sun Aug 11, 2019 10:56 pm
- Forum: Method and application
- Topic: IPMA - Include LVs with non-significant total effect ?
- Replies: 2
- Views: 4254
IPMA - Include LVs with non-significant total effect ?
Hi When asessing structural model relationships, what happen if some LVs’ total effects (importance) are non-significant explaining the target LV? Do I have to include them in the IPMA? Does this make sense? Another issue... Negative total effects are included in the map as "negative" or a...
- Sat Jan 05, 2019 10:59 am
- Forum: Method and application
- Topic: Questions on AVE, composite models, and moderator variable
- Replies: 4
- Views: 3328
Re: Questions on AVE, composite models, and moderator variable
Thank you again Dr. Jan-Michael Becker
Your comments are very usefull.
Have a nice day
Your comments are very usefull.
Have a nice day
- Sat Jan 05, 2019 10:50 am
- Forum: Method and application
- Topic: Questions on AVE, composite models, and moderator variable
- Replies: 4
- Views: 3328
Re: Questions on AVE, composite models, and moderator variable
Thank you Dr. Jan-Michael Becker With respect to 2), what happen here is that we composed a metric in purpose for this study, using secondary data. As far as we know, there is no other alternative (and reflective) metric measuring the same concept. If you don't mind, I have another question on moder...
- Sat Jan 05, 2019 9:52 am
- Forum: Method and application
- Topic: Questions on AVE, composite models, and moderator variable
- Replies: 4
- Views: 3328
Questions on AVE, composite models, and moderator variable
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 th...
- Fri Jan 04, 2019 2:22 pm
- Forum: Method and application
- Topic: How to interpret moderation results
- Replies: 5
- Views: 5308
- Thu Jan 03, 2019 6:10 pm
- Forum: Method and application
- Topic: How to interpret moderation results
- Replies: 5
- Views: 5308
Re: How to interpret moderation results
As far as I know, the structural path from the Moderating effect and the dependent variable is not significant (t < 1,65). Therefore, there is no moderating effect. However, wait for some expert to reply. Bests.
- Thu May 25, 2017 11:55 am
- Forum: Method and application
- Topic: Some questions about HTMT and cross-loadings
- Replies: 6
- Views: 7467
Re: Some questions about HTMT and cross-loadings
Thank you Dr. Ringle
- Wed May 03, 2017 5:06 am
- Forum: Method and application
- Topic: Some questions about HTMT and cross-loadings
- Replies: 6
- Views: 7467
Re: Some questions about HTMT and cross-loadings
Your results are possible. The total effect is the indirect effect + the direct effect. If you have slightly negative effects for the direct effect a positive indirect effect might be reduced to a smaller total effect. This total effect can then be significant or insignificant depending on much the...
- Sat Apr 29, 2017 11:42 pm
- Forum: Method and application
- Topic: Some questions about HTMT and cross-loadings
- Replies: 6
- Views: 7467
Re: Some questions about HTMT and cross-loadings
I think you already mentioned most important aspects. If constructs are conceptually similar, it is expected that they correlate highly. Discuss this in your report. Most importantly, it is necessary to assure discriminant validity between construct. A high correlation is not necessarily a problem ...
- Sat Apr 29, 2017 3:35 pm
- Forum: Method and application
- Topic: Some questions about HTMT and cross-loadings
- Replies: 6
- Views: 7467
Some questions about HTMT and cross-loadings
Hi mates I would be very greatfull if you could help me with the following questions: I just received a revision of my paper. One of the reviewers said that correlations among the LVs in my model are high (about 0.60) and may be multicollinearity problems. I think some LVs are conceptually very simi...
- Sun Apr 23, 2017 12:38 pm
- Forum: Method and application
- Topic: Doubts: VIF values and high correlations
- Replies: 4
- Views: 6290
Re: Doubts: VIF values and high correlations
For reflective models you care only about VIFs in the inner model. VIFs in the outer model are allowed to be high. Are the high VIFs that you report in the inner or outer model? Your first messages sounds like they appeared in the outer model, because you were talking about deleting "items&quo...
- Fri Apr 21, 2017 7:11 pm
- Forum: Method and application
- Topic: Procedure when inner VIFs are above threshold? reflec-reflec
- Replies: 2
- Views: 3617
Re: Procedure when inner VIFs are above threshold? reflec-re
Your procedure is not correct. Outer model VIFs are computed within a specific measurement model and not across measures. Within a reflective measurement model you should have high correlations and thus high VIFs. Removing indicators because of high outer model VIFs in a reflective construct potent...
- Fri Apr 14, 2017 10:54 pm
- Forum: Method and application
- Topic: Procedure when inner VIFs are above threshold? reflec-reflec
- Replies: 2
- Views: 3617
Procedure when inner VIFs are above threshold? reflec-reflec
Helo mates I have read that in reflective-reflective models, you only care about inner model VIFs. However, what is the correct procedure to solve this? In my model, some of the inner model VIFs are above the threshold (3.3 as recommended). This happen also with outer model, which shows items with h...
- Fri Apr 14, 2017 11:56 am
- Forum: Method and application
- Topic: Model Fit
- Replies: 6
- Views: 12165
Re: Model Fit
Dear Rama
I see in your model that the saturated and estimated models values are equal. Do you know what this means?
Thank you
I see in your model that the saturated and estimated models values are equal. Do you know what this means?
Thank you