Unable to improve discriminant validity

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vibhu johar

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Nov 11, 2021, 3:23:15 AM11/11/21
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Dear gp members
While testing convergent and discriminant validity of the scale in sem in amos, i found AVE values of all constructs and in two constructs AVE values were less than 5. Then i found CR which came out to be> 7. The convergent validity was fine.  Then testing for discriminat validity root AVE was found to be greater than correlation values between respective constructs but in case of two constructs the Root AVE value was less than correlation values. Then i checked cross loadings in EFA and deleted two items of satisfaction which were loaded in loyalty. Then i again calculated AVE. But still the divergent validity issue was there. The root AVE  of two constructs were still not greater than correlation value. I saw neeraj sirs video on improving discriminant validity. Please guide. 
 Thank you
Vibhu johar

Garisha Arora

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Nov 11, 2021, 5:00:35 AM11/11/21
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AVE above  0.5 is very important.  Improvement through modification indices is possible only for minute deviation using modification indices that too a certain limit,  say one or two in a model. If the value is very less from 0.5 e.g. 0.46 / 0.44  then there is data issue. If by deleting items you can improve the AVE then great (without loosing content validity)  otherwise...  You need to check the data discrepancy. Respondents may not have filled the responses correctly or check the scale and critically analyze it.  Is it really a reflective scale?

You need to look upon these aspects critically. As you said C. R.  was OK which should be above 0.7.  But AVE is a compulsive parameter, which should be established. Look on these aspects.

For discriminant validity, please go n check your variables (scale's items)  in which issue is appearing. There might be a possibility at scale level.  If not,  then indeed it's a case of data.

I hope it helps. 
🙏🙏

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vibhu johar

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Nov 11, 2021, 6:04:29 AM11/11/21
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Garisha Arora

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Nov 11, 2021, 1:48:55 PM11/11/21
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M sorry there is a slight correction. I wrote it by mistake.  Modification indices is used for model fitness.  Not for validity. So don't consider that particular point as answer for your question. Rest is same as I mentioned. 

Apologies! 

vibhu johar

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Nov 11, 2021, 10:11:39 PM11/11/21
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