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7. Hayes Process Macro Model 5 - Multiple Mediators and a Moderator thumbnail

7. Hayes Process Macro Model 5 - Multiple Mediators and a Moderator

Research With Fawad·
5 min read

Based on Research With Fawad's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

Collaborative culture predicts both assurance and perceived organizational support, and each mediator predicts organizational performance.

Briefing

Collaborative culture improves organizational performance through two parallel mediators—assurance and perceived organizational support—but that direct culture-to-performance link weakens as role ambiguity rises. The analysis uses Hayes Process Model 5 to test a setup with one independent variable (collaborative culture), two mediators (assurance and perceived organizational support), and one moderator (role ambiguity) that specifically moderates the direct path from culture to performance.

In SPSS, the model is run with organizational performance as the dependent variable, collaborative culture as the independent variable, assurance and perceived organizational support as mediators, and role ambiguity as the moderator. Variables are centered to reduce multicollinearity, and the interaction term between collaborative culture and role ambiguity is created. The output is organized so that each mediator gets its own model summary, followed by a combined outcome model for organizational performance.

For the mediator stage, culture significantly predicts both assurance and perceived organizational support (paths A1 and A2 are significant). In other words, higher collaborative culture is associated with stronger levels of both mediators. The next stage tests whether those mediators carry effects into organizational performance. Both mediator-to-outcome paths are significant: assurance significantly predicts organizational performance (B1), and perceived organizational support significantly predicts organizational performance (B2). Importantly, the direct effect of culture on performance remains significant even after accounting for both mediators, indicating that mediation does not fully explain the culture–performance relationship.

The moderation results focus on the interaction between collaborative culture and role ambiguity. The interaction term is significant, meaning role ambiguity changes how strongly culture translates into performance. Johnson–Neyman analysis and simple slope tests show a clear pattern: at low and average levels of role ambiguity, the effect of collaborative culture on organizational performance is statistically significant and relatively stronger (the reported effect is higher at the lower moderator value and declines at the average value). As role ambiguity increases, the culture effect diminishes and eventually becomes non-significant beyond a threshold moderator value (reported around 1.1642 in the Johnson–Neyman region). The practical takeaway is straightforward: when role ambiguity is high, increasing collaborative culture no longer produces the same performance gains.

Finally, the mediation results are quantified through indirect effects. The indirect effect through assurance (A1×B1) is significant, and the indirect effect through perceived organizational support (A2×B2) is also significant. Because the direct effect stays significant alongside significant indirect effects, the mediation is partial. The combined interpretation is that collaborative culture boosts performance both directly and indirectly—yet the direct pathway is contingent on role clarity. A reporting section is also outlined: state the moderation hypothesis, note the interaction’s significance and the centered variables used to avoid multicollinearity, describe the Johnson–Neyman/simple slope findings, and then report the two supported mediation hypotheses with evidence of partial mediation.

Cornell Notes

Hayes Process Model 5 tests how collaborative culture affects organizational performance through two mediators while also allowing role ambiguity to change the direct culture→performance link. Culture significantly predicts both mediators: assurance and perceived organizational support. Both mediators significantly predict organizational performance, and the direct effect of culture on performance remains significant after accounting for them, indicating partial mediation. Role ambiguity significantly moderates the direct path: the culture effect is strongest at low and average role ambiguity and weakens as role ambiguity rises, becoming non-significant beyond a Johnson–Neyman threshold (about 1.1642).

What does Model 5 mean in this analysis, and which variables play each role?

Model 5 here specifies one independent variable (collaborative culture, X), one dependent variable (organizational performance, Y), two mediators (assurance and perceived organizational support), and one moderator (role ambiguity) that moderates the direct X→Y relationship. The mediators receive paths from X (A1 and A2), and the outcome model includes paths from each mediator to Y (B1 and B2), plus the direct effect of X on Y (C′/direct effect) and the interaction term X×W (culture × role ambiguity) where W is the moderator.

How do the results establish mediation through assurance and perceived organizational support?

Mediation requires significant indirect effects. The analysis reports that culture significantly predicts assurance (A1) and perceived organizational support (A2). It also reports that assurance significantly predicts organizational performance (B1) and perceived organizational support significantly predicts organizational performance (B2). The indirect effects A1×B1 and A2×B2 are both significant, and the direct effect of culture on performance remains significant, so mediation is partial rather than full.

What evidence shows that role ambiguity moderates the culture→performance relationship?

The interaction term between collaborative culture and role ambiguity is significant in the outcome model, indicating moderation of the direct path. Johnson–Neyman/simple slope results then show conditional effects: culture’s effect on performance is significant at low and average role ambiguity, decreases as role ambiguity increases, and becomes non-significant after a threshold moderator value (reported around 1.1642). This identifies the range of role ambiguity where the culture effect is statistically reliable.

How should the conditional effects be interpreted across low, average, and high role ambiguity?

At low role ambiguity, the slope of collaborative culture predicting organizational performance is significant and relatively strong. At average role ambiguity, the effect remains significant but smaller. At high role ambiguity, the slope flattens and eventually loses significance, meaning higher collaborative culture no longer translates into meaningful performance gains when roles are unclear.

What does “complimentary” vs “competitive” mediation mean here, and what was found?

The analysis uses the sign of the product of paths to classify indirect effects. Indirect effects are computed by multiplying the relevant coefficients (A×B×C′/direct path component as described). The reported products are positive, so both indirect pathways are “complimentary,” not competitive—both mediators contribute in the same direction as the overall relationship.

Review Questions

  1. Which paths (A1/A2, B1/B2, and the direct effect) must be significant for partial mediation to be concluded?
  2. How does Johnson–Neyman analysis determine the moderator value range where the culture effect is significant?
  3. What pattern in the simple slopes would you expect if role ambiguity fully eliminated the culture effect at high values?

Key Points

  1. 1

    Collaborative culture predicts both assurance and perceived organizational support, and each mediator predicts organizational performance.

  2. 2

    Both indirect pathways (through assurance and through perceived organizational support) are statistically significant, establishing mediation.

  3. 3

    The direct effect of collaborative culture on organizational performance remains significant after including both mediators, so mediation is partial.

  4. 4

    Role ambiguity significantly moderates the direct culture→performance relationship via a significant interaction term.

  5. 5

    Conditional effects show the culture effect is strongest at low and average role ambiguity and weakens as role ambiguity rises.

  6. 6

    Johnson–Neyman results identify a moderator threshold (around 1.1642) beyond which the culture effect becomes non-significant.

  7. 7

    Reporting should separate moderation (interaction + conditional effects) from mediation (indirect effects + direct effect to justify partial mediation).

Highlights

The culture→performance link depends on role clarity: higher role ambiguity weakens the direct effect of collaborative culture on organizational performance.
Both mediators—assurance and perceived organizational support—carry significant indirect effects from collaborative culture to performance.
Partial mediation emerges because the direct effect stays significant even after both mediators are included.
Johnson–Neyman analysis pinpoints where moderation stops: beyond roughly 1.1642 role ambiguity, the culture effect is no longer significant.

Topics

Mentioned

  • SPSS