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In this paper we address the practice of mediation and moderation analysis using linear regression in the pages of Behaviour Research and Therapy and offer some observations and recommendations, debunk some popular myths, describe some new advances, and provide an example of mediation, moderation, and their integration as conditional process analysis using the PROCESS macro for SPSS and SAS.
Analyses were conducted using Hayes' [37] PROCESS macro for SPSS (Version 22; IBM Corp ,NY).
The analysis was conducted using model 58 in the PROCESS macro developed by Hayes Hayess, 2013).
We examined the mediating effect of networking ability using Model 4 (mediation model) from Hayes' (2013) PROCESS macro in SPSS.
We relied on the SPSS PROCESS macro (Hayes, 2013 – Model #4) to estimate the direct and indirect associations.
To test this moderated mediation, we used a bootstrapping procedure using the SPSS PROCESS macro (Hayes 2013).
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The modeling of thermal reaction furnaces of sulfur recovery units is a quite cumbersome problem since it involves different modeling scales such as the kinetic/molecular micro-scale, the reactor design meso-scale, and the chemical process macro-scale.
The mediation analysis was performed using the Process Macros (http://www.afhayes.com/) developed for SPSS IBMM Corp., Armonk, NY, USA).
They are powerful tools in modeling anomalous physical processes, macro- and micro-scale phenomena, long-term relation description and many discontinuous problems since they involve extra parameters, the order of derivatives.
In each realization of the point process, each macro and femto user communicates only with its nearest macro-BS and femto-BS, respectively.
A holistic model is presented, detailing the degradation process of macro and microsynthetic fibres.
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