Which VIF values to report?

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Avneet

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Jul 4, 2023, 9:58:53 AM7/4/23
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Greetings! 

Please help me resolve the following queries:

1. In the case of formative constructs, which VIF values should be less than 3.3? Are the inner VIF values reported or outer VIF values? 

2. Can the threshold limit be kept as VIF  < 5 or it should only be kept as VIF < 3.3? 


Thank you! 


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Regards
Avneet Kaur Puri
Junior Research Scholar 
University Business School
Panjab University
Chandigarh

Neeraj Kaushik

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Jul 4, 2023, 7:35:59 PM7/4/23
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Dear Avneet

There are 2 terms in SEM:
Inner Model: The structural relationship of constructs
Outer Model: A construct with its statements
An Inner Model is also known as Path Analysis or the simple Regression analysis between constructs.

I made a demo model where Quality is a Formative construct. 
Quality and Satisfaction are IDVs for Loyalty.
image.png
Here, for the Formative construct, we shd report the VIF of the Outer Model
And for checking the Multicollinearity between the Quality and Satisfaction, we shd report the VIF values of Inner model.

image.png
image.png

Now feel plz to ask for any of your doubts.

Best wishes
Neeraj


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kritika gupta

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Jul 5, 2023, 9:03:24 AM7/5/23
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Sir In case of model with control variable how to report vif inner?

Avneet

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Jul 5, 2023, 11:22:43 AM7/5/23
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Respected Sir,

Thank you for the illustrative explanation. However, my query is if the VIF values for the formative constructs are supposed to be reported for the outer model i.e. statements to construct does that imply the responses collected from the respondents need to vary among themselves?  

For example:

image.png

A formative construct 'S' consists of 6 statements from S1 TO S6. 
The Issue of Multicollinearity is bound to arise since the responses received are similar and do not differ from each other. Wouldn't this affect the reliability/validity of the construct? Also, are VIF values above 3 also acceptable?

Thank you!


Archana Mittal

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Jul 5, 2023, 7:34:00 PM7/5/23
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And sir, if the model is reflective-reflective in PLS-SEM, then which VIF values are to be reported, the Inner or outer model's? 
Thanks & Regards

Archana Mittal




Neeraj Kaushik

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Jul 5, 2023, 8:54:45 PM7/5/23
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Dear Avneet

Looking at the data, it does not seem to be a formative construct data.

If the respondents have replied so similarly to all statements, it appears to them all statements are the same.
Plz note high VIF value is again indicating the same that the responses are very similar, which rarely happens in formative constructs. Further, VIF<3 is good (denoted by green colour in SmartPLS), VIF between 3-5 is a concern  (denoted by black colour in SmartPLS)and VIF>5 is a problem (denoted by red colour in SmartPLS)

So, you are correct in your observations. Here we shd check whether we truly have a reflective or formative construct.


Best wishes

Neeraj Kaushik

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Jul 5, 2023, 8:58:00 PM7/5/23
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Dear Archana

As I mentioned earlier, for the measurement models we refer to the outer model and for the structural model we refer to the inner model/

As regards the higher order construct, you shd use the two-stage approach (Stage-1 save the scores of LOCs and in Stage-2 use those LOC scores as items for making HOC) and here too you''ll refer to the outer model for HOC.

Best wishes 
 

kritika gupta

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Jul 6, 2023, 9:29:43 AM7/6/23
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Sir In case of model with control variable how to report vif inner?

Neeraj Kaushik

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Jul 15, 2023, 8:54:49 PM7/15/23
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If the control variable is measured on the scale, then it should also be checked for validity and reliability
Then report the usual VIF values as given by model analysis.

Rinky Yadav

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Feb 15, 2024, 9:55:42 PM2/15/24
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Sir in my model vif value of 1 item is 5.276. should I remove it? And if yes then i need to report new values?

Muhammad Rizqi Siregar

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Feb 16, 2024, 10:44:21 PM2/16/24
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Dear Rinky Yadav,

Are they key variables? Is the measurement of their effects part of your research goal? If the answers are resounding no, you can ignore large VIF.  If you work with large samples, VIF can be relaxed too.

I'd suggest that you focus on the effect estimates, the standard errors and confidence interval around those effects rather than taking "acceptable" VIF values (less than or equal 2.5, less than 3.3, or less than 5).

Best,
MRS

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