Clarification on Negative Moderation Effect in PLS-SEM Results

[Yashi Kapil]

Respected group members and Neeraj Sir

I hope you are doing well.

I am currently analyzing my structural model using PLS-SEM and would appreciate your guidance on an issue I am facing related to moderation effect.

In my model, organizational career management (OCM) is specified as a moderator between career adaptability (CA) and subjective career success (SCS). The direct effects in the model are all positive and significant, particularly:

• CA → SCS: β = 0.250, t = 4.320, p = 0.000
• OCM → SCS: β = 0.206, t = 3.638, p = 0.000

However, the moderation effect (OCM × CA → SCS) is coming out as:

• β = -0.122, t = 3.112, p = 0.001

This indicates a significant but negative moderation effect.

My confusion is that, conceptually, I expected moderation to strengthen the relationship between CA and SCS. Instead, the negative coefficient suggests that as OCM increases, the effect of CA on SCS weakens.

I would like to understand:

1. Is a negative moderation effect theoretically acceptable in this context?
2. Can this be interpreted as a substitution effect, where strong organizational support reduces reliance on individual adaptability?
3. Should I retain and justify this finding, or reconsider the model specification?

I would greatly appreciate your insights on how to correctly interpret and report this result.

Looking forward to your suggestions.

Thanks, and regards

Yashi Kapil

Research scholar

Bennett University.

[Vidushi Sharma]

Dear Yashi,

Thanks for sharing this thoughtful query; it’s a very clear and empirically sound problem to address.

1. Is a negative moderation effect theoretically acceptable?

Yes, a negative moderation effect is perfectly acceptable from a theoretical point of view, as long as it can be logically interpreted and aligned with your conceptual framework. 
In PLS‑SEM, moderation simply indicates that the strength (or direction) of a relationship changes at different levels of the moderator, and this can mean either strengthening (positive β) or weakening (negative β) of the focal relationship. In your case, a negative β (-0.122) for OCM × CA → SCS means that higher OCM weakens the positive effect of CA on SCS, but the moderation itself is statistically significant (p = 0.001), so it is a real, interpretable effect.

2. Can this be interpreted as a substitution effect?

Yes, a plausible interpretation is a substitution (or “compensating”) effect.
You can argue that when organizational career management (OCM) is strong, employees may rely less on their own career adaptability (CA) to achieve subjective career success (SCS), because the organization provides structured support (e.g., mentoring, training, clear career paths). In other words, OCM substitutes or buffers the need for individual adaptability, thereby reducing the predictive power of CA on SCS at higher levels of OCM.
This is consistent with broader career‑literature findings where contextual support (e.g., work social support, organizational career management) can alter the role of individual‑level traits like adaptability.

3. Should you retain and justify this finding, or reconsider the model?

You should retain and justify this finding, provided the model and measurement are sound.

PLS‑SEM moderation is about what the data show, not only what you expected; a significant but unexpected negative moderation is still a contribution, especially if it leads to a richer theoretical discussion.

You can reconsider the model specification only if you suspect: (1) endogeneity or omitted variables, (2) measurement issues, or (3) an inappropriate interaction term (e.g., non‑centered variables, multicollinearity). If model diagnostics (HTMT, loadings, R², VIFs, etc.) are satisfactory, there is no need to discard the moderation; instead, reframe it conceptually.

I hope this helps you.

Regards

Vidushi

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[Yashi Kapil]

Thank you ma’am for such valuable insights and clarifying my confusions.

 I will definitely utilize your suggestions for proceeding further in my research work. 

Thanks, and regards

Yashi Kapil. 

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From: dataanalys...@googlegroups.com <dataanalys...@googlegroups.com> on behalf of Vidushi Sharma <vidushi....@gmail.com>
Sent: Friday, April 10, 2026 9:27:19 PM
To: dataanalys...@googlegroups.com <dataanalys...@googlegroups.com>
Subject: Re: Clarification on Negative Moderation Effect in PLS-SEM Results

 

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