Hello all,
In a structural model if discriminant validity is not established between two or more constructs, what would you recommend before carrying on the analysis of R square f square Q square etc and other analyses to see the predictiveness of the model?
Should I remove the constructs which don't qualify to establish the discriminant validity? Or should I just mention that discriminant validity is not established between A and B and just carry on with the analysis for the model for R, Q square etc?
Discriminant Validity not established
- Hengkov
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Re: Discriminant Validity not established
Hi,
Discriminant validity if not established, I think you have other problems like multicoloniarity which makes the correlation between the constructs to be high, so HTMT, Cross-Loading or Fornell-Lacker criteria can not be met.
In addition, it may be included in the model constructs are irrelevant, or errors in data collection (common method bias).
Greetings,
Discriminant validity if not established, I think you have other problems like multicoloniarity which makes the correlation between the constructs to be high, so HTMT, Cross-Loading or Fornell-Lacker criteria can not be met.
In addition, it may be included in the model constructs are irrelevant, or errors in data collection (common method bias).
Greetings,