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The results indicated that JS, PA, and AC mediate the effect of POS on performance.
Therefore, we can conclude that the mediators JS, PA, and AC may mediate the effect of POS on performance.
The proportion of total effect of POS on depressive symptoms by mediator role was calculated with the formula '(a*b /total effect'.
In addition, the effect of POS on depressive symptoms in Block 3 was reduced compared with that in Block 2 among both FL-COs and NFL-COs, as indicated by smaller β coefficients.
Specifically, in the present model, the effect of POS on job performance is a direct effect, and there are indirect effects of POS on job performance via the three mediators of job satisfaction, positive affectivity, and positive commitment.
The difference between the total and direct effects is the total indirect effect through the three mediators, with a point estimate of 0.28 and a 95% CI of 0.2130 to 0.3566 (i.e., we can claim that the difference between the total and the direct effect of POS on performance is not different from zero).
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As shown in Table 3, the total and direct effects of POS on performance are 0.25 (p < .001) and −0.03 (p > .05), respectively.
In Table 3, we can see that the effect of POS (labeled C) positively predicts JP.
When mediators were added, the effect of POS (labeled C') was not statistically significant.
We firstly assume that without any mediating variables, POS would positively predict JP and then with these variables the effect of POS is not statistically significant, which suggests that the relationship between POS and JP is entirely mediated by JS, PA, and AC.
The results of a dyadic survey in a hospital setting suggest that the effect of RPI on POS is conditional not only on the perceived usefulness of information and relative performance but also on the professional identification of RPI recipients.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com