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We therefore performed three-path mediation analyses with two sequential mediators (Fig. 4b).
In the mediation analyses, with IQ as the mediator, the indirect effects via IQ (Fig. 1, Mediation model, paths A and B) were considerably weaker than the direct effects between group status and psychopathology (path C) (Table 8).
In addition, moderated mediation analyses with the moderator modality and mediator situational interest confirm the affective mediation assumption with the following two conditional effects.
Next, we performed mediation analyses with N1, N2, P2, and gamma responses as mediators for the combined condition.
To this end, we performed mediation analyses with N1, N2, P2, and gamma responses as mediators based on preselected electrodes and time -frequency) windows (Fig. 3). Figure 5 shows time -frequencyffects for N1, N2, P2, and gamma responses for each condition and Table 2 showindowssecond-level path coeFigcients.
Additional mediation analyses with covariates were performed whenever more than one brain response was found to be a significant mediator to investigate whether these brain responses carried redundant or complementary information.
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First, the mediation analyses performed with neurocognition, social cognition, and symptomatology were based on cross-sectional data.
To further explain the relationship between general WE and SI, two mediation analyses were performed with post-war hardships and depression/anxiety as mediators in the framework of Baron and Kenny [ 44].
Motives were measured using the Drinking Motives Questionnaire Revised Short-form, and mediation analyses were conducted with the product of coefficient test using bootstrapping.
Similar to Study 1, we conducted mediation analyses in accordance with Baron and Kenny [ 24].
Separate mediation analyses were performed with the self-perceived ability to continue working as the dependent variable, job satisfaction or occupational commitment as the mediator and one of the job factors or organisational factors that were significant in the multiple linear regression analyses as the independent variable.
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