Suggestion regarding SRMR value

[Priya Bansal]

Respectable neeraj sir and group members,

I have came across a problem while running pls-sem. I need your guidance on this. 

The SRMR values of my results is .085, which is above the threshold limit of .080. 

Why it happens and what should i do to improve the value

Kinds regards, 

Priya bansal

[Sunil Chawla]

Ma'am, 

When an item is loading highly on two constructs, it impacts the discriminant validity and inflates SRMR.

Following, compiled from Meta AI, may be helpful for you.

 

If your SRMR = 0.085, please see the following :

   0.085 vs 0.08 is a 0.005 difference. Most reviewers won’t reject based on that alone. SRMR is sensitive to sample size and model complexity.

   For PLS-SEM, primary evaluation = R², Q², path significance, effect sizes. SRMR is “nice to have” but not mandatory. If your journal/advisor uses Henseler’s 2014 guidelines, SRMR is secondary.

   If R² > 0.25, Q² > 0, VIF < 5, rho_c > 0.7, and HTMT < 0.90, you can defend the model. SRMR alone doesn’t kill your study.

Hu & Bentler’s 0.08 cutoff was made for CB-SEM. For PLS-SEM, Hair et al. 2022 say SRMR is only an _approximate_ fit measure. PLS focuses on prediction, not fit. Many reviewers don’t even require SRMR in PLS.

Regards.

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[Rahul Bora]

Greetings!!

To reduce the SRMR value. You can use control variables in the model.

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[Priya Bansal]

Thankyou so much for your guidance 

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[Ajit Pal Singh]

Check item alpha, loading, VIF etc.

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