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In a mediation model, a mediating variable is hypothesised to be intermediate in the relation between an independent variable and an outcome measure.
In linear regression models, the coefficient of a key variable estimated in a model including the mediating variable is compared with a reduced model, which excludes the mediating variable.
A mediating variable is intermediate in the causal relationship between two variables such that an independent variable causes the mediating variable which causes a dependent variable.
A mediating variable is one that explains all or part of the association between a predictor and a response.
A mediating variable is one which explains the effects from a predictor variable to an outcome variable [ 14, 15].
Enjoyment, another mediating variable, is assessed with the PA Enjoyment Scale [ 47], which has demonstrated factorial and construct validity when used with adolescents [ 48, 49].
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The hypothesis that control is a mediating variable was not confirmed.
In evaluating the effect of the main independent variable on the random intercept, the power for the SEM and the LMM2 (i.e. LMM without the mediating variable) was > 99% when the effect size was large, regardless of whether the effect was primarily direct, primarily indirect or equally distributed between the direct and indirect paths.
When every combination of three out of the four mediating variables is entered into the parallel mediation model (Model 4) there was again no evidence for an indirect mediated effect between neurocogonition and violence.
In fact, misclassification of the mediating variables is more important than that of the exposure (due to migration) and may underestimate the% attenuation presented in this paper [ 38].
When all four mediating variables are entered into a parallel mediation model (Fig. 2, model 4 of the PROCESS macro [ 70]) there is no evidence of an indirect mediated effect between neurocognition and violence.
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