Mediation analysis is frequently utilized in diverse scientific fields such as psychology, sociology and epidemiology, to develop insight into the causal mechanism whereby an exposure affects an outcome. It concerns the study of indirect effects of that exposure that are mediated through a given intermediate variable or mediator, and/or the study of the remaining direct effect. Despite its popu...

Background. Vaccination effectively prevents seasonal influenza. To promote vaccination adherence, it is necessary to understand the motivational process that underlies vaccination behavior. This was examined along with the moderating influence of past behavior on intention formation. Methods. German employees (N = 594) completed questionnaires at baseline and at 7-month followup. Regression an...

This study aims to explore factors associated with cyberbullying perpetration on social media among children and adolescents in Singapore, based on the theory of reasoned action and the parental mediation theory. More specifically, the relationships between attitude, subjective norms, descriptive norms, injunctive norms, and active and restrictive parental mediation with cyberbullying perpetrat...

Mediation analysis is widely used in the social sciences. Despite the popularity of mediation models, few researchers have used graphical methods, other than structural path diagrams, to represent their models. Plots of the mediated effect can help a researcher better understand the results of the analysis and convey these results to others. This article presents a method for creating and inter...

OBJECTIVE We studied the psychometric properties of the dynamic version of the Lowenstein Occupational Therapy Cognitive Assessment (DLOTCA) and examined the most frequent level of mediation used for planning for intervention. METHOD Participants included 83 clients hospitalized after first stroke (mean age = 57.7, standard deviation = 8.33) and 45 healthy control participants. All were asses...

We extend the anomaly mediation mechanism by including the effect due to Kähler anomaly. We give a general method analyzing the soft breaking terms in MSSM by introducing a set of parameters. One of the parameters describes the magnitude of the Kähler contribution as opposed to the ordinary super-Weyl contribution. The other parameters come from the so-called bilinear terms which are added to t...

Mediating variables are prominent in psychological theory and research. A mediating variable transmits the effect of an independent variable on a dependent variable. Differences between mediating variables and confounders, moderators, and covariates are outlined. Statistical methods to assess mediation and modern comprehensive approaches are described. Future directions for mediation analysis a...

R(2) effect-size measures are presented to assess variance accounted for in mediation models. The measures offer a means to evaluate both component paths and the overall mediated effect in mediation models. Statistical simulation results indicate acceptable bias across varying parameter and sample-size combinations. The measures are applied to a real-world example using data from a team-based h...