Dear guys,
I have a question regarding effect size. In my model I found some low effect size. However, these low effect size has a significant relationship. Some other effect size are bigger but they do not have a significant relationship. Please advise me why it can happen?
Kind Regards,
Effect Size and Hypotheses testing
- Hengkov
- PLS Super-Expert
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Hi Husein,
Check statistical power analysis.
But I think no problem if effect size is low => significant.
(effect size not relation with result but R-squares => explain variance).
For addition, please check your predictive relevance model.
In general, I know effect size large is mostly significant.
Regards,
Hengky
Check statistical power analysis.
But I think no problem if effect size is low => significant.
(effect size not relation with result but R-squares => explain variance).
For addition, please check your predictive relevance model.
In general, I know effect size large is mostly significant.
Regards,
Hengky