Search found 5 matches
- Mon Feb 11, 2019 7:23 pm
- Forum: Method and application
- Topic: Interpreting effect size F squared and Q squared
- Replies: 5
- Views: 13383
Re: Interpreting effect size F squared and Q squared
Anyone has an idea perhaps?
- Sun Feb 10, 2019 12:19 pm
- Forum: Method and application
- Topic: Interpreting effect size F squared and Q squared
- Replies: 5
- Views: 13383
Interpreting effect size F squared and Q squared
Hi all, I have a model with: 1 IV 2 Mediators (serial mediation) 2 DVs 1 Moderator (between direct link IV --> DV1 and IV --> DV2) First question about effect size: I calculated the f2 value with SmartPLS and I have found six relationships with no effect, namely: Moderator link 1, moderator link 2, ...
- Fri Jan 04, 2019 12:59 pm
- Forum: Method and application
- Topic: How to interpret moderation results
- Replies: 5
- Views: 5305
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. Thanks for your response. I am aware that the path is not significant. Maybe I should r...
- Thu Jan 03, 2019 2:28 pm
- Forum: Method and application
- Topic: How to interpret moderation results
- Replies: 5
- Views: 5305
Re: How to interpret moderation results
Anyone by any chance has an idea? I understand that the above mentioned phenomenon is called the interaction term but in literature suggested here on the forum, I cannot find any information on how to interpret the final result with the significance.
- Wed Jan 02, 2019 8:01 pm
- Forum: Method and application
- Topic: How to interpret moderation results
- Replies: 5
- Views: 5305
How to interpret moderation results
Hi everyone, I have a model with the following variables: - Independent Variable: Transparency - Mediators: Trust & Reputation - Moderators: Awareness - Dependent Variables: Purchase intention & Brand attitude Following the literature of Hair et al. (2016) I have assessed my model with the a...