Mediation analysis is a statistical approach used to examine how the effect of an independent variable on an outcome is transmitted through an intervening variable (mediator). In this article, we provide a gentle introduction to single-level and multilevel mediation analyses. Using singlelevel data, we demonstrate an application of structural equation modeling (SEM) in estimating mediation mode...

In mediation, we consider an intermediate variable, called the mediator, that helps explain how or why an independent variable influences an outcome. In the context of a treatment study, it is often of great interest to identify and study the mechanisms by which an intervention achieves its effect. By investigating mediational processes that clarify how the treatment achieves the study outcome,...

Mediation analysis is used to review the comparative change in the amount of strength of association of the primary predictor with the outcome after adjustment for the mediator. Mediation models are very widely used in social sciences and biomedical sciences. Before conducting mediation studies, researchers want to know the sample size (i.e. number of subjects) required for achieving the adequa...

Mediation analysis empirically investigates the process underlying effect of an experimental manipulation on a dependent variable interest. In simplest mediation setting, treatment can affect through mediator (indirect effect) and/or directly (direct effect). However, what appears to be indirect in standard may reflect data-generating without mediation, including possibility reversed causal ord...

The current study aims to identify the role of mediator for strategic persuasion in relationship between altruistic leadership and high performance workers Najaf Al-Ashraf Teaching Hospital (German) through applied knowledge frameworks on which relied. In achieving persuasion, address problem study, a set main sub-hypotheses were formulated that are appropriate its objectives, considering as an...

In a recent manuscript, VanderWeele and Vansteelandt (American Journal of Epidemiology, 2010,172:1339-1348) (hereafter VWV) build on results due to Judea Pearl on causal mediation analysis and derive simple closed-form expressions for so-called natural direct and indirect effects in an odds ratio context for a binary outcome and a continuous mediator. The expressions obtained by VWV make two ke...

This study aims to determine the effect of conflict and work environment on productivity PT. Syntronic Indonesia's employee performance. The total population in this was 89 people with determination number samples using Slovin formula which resulted 80 respondents. uses an analysis Structural Equation Modeling (SEM) model how much influence independent variable has dependent through intervening...

This study aims to determine the influence of sustainable consumption attitudes and information anxiety on consumer assessment its impact behavior buying organic products in city Surabaya. The variables used this are as a free variable, judgment mediating variable product bound variables. method is quantitative mediation. samples non-probability sampling with combination technique purposive sno...

This paper proposes an opportunistic framework to modeling and control of multi-robots moving-target pursuit in dynamic environment with partial observability. The partial observability is achieved via the introduction of third party agent (referred to as mediator) that transforms the target’s as well as group members’ positioning information into the robotic agents’ common knowledge, thereby e...

In this survey study of 430 undergraduates, elements of the social competencies and interpersonal processes model (B. Mallinckrodt, 2000) were tested. Two social competencies were hypothesized to mediate the direct effects of 2 independent variables, attachment anxiety and avoidance, on 2 outcomes, psychological distress and perceived social support. Social self-efficacy was expected to be a si...