In March 2011 the Italian Government introduced mandatory pre-trial mediation of civil and commercial cases. The Italian mediation model is capable of sensibly speed-up the settlement of disputes but, on the other end, citizens need to be sensitized to the benefits of mediation and must be trained on how mediation works and how to access it. The purpose of this paper is to describe a learning m...

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...

PURPOSE A popular way to attempt to discern causality in clinical psychology is through mediation analysis. However, mediation analysis is sometimes applied to research questions in clinical psychology when inferring causality is impossible. This practice may soon increase with new, readily available, and easy-to-use statistical advances. Thus, we here provide a heuristic to remind clinical psy...

Dispute mediation is a growing activity in the resolution of conflicts, and more and more research emerge to enhance and better understand this (until recently) understudied practice. Corpus analyses are necessary to study discourse in this context; yet, little data is available, mainly because of its confidentiality principle. After proposing hints and avenues to acquire transcripts of mediati...

for dissemination) The objective of this deliverable has been a specification for a data-mediation component. The data mediation task is hereby considered a translation of messages and related instance data between two parties (e.g. a WS requester and a provider), using different WSML ontologies. Two phases of datamediation are considered: human-aided design-time mediation specification; and au...

Applied researchers often include mediation effects in applications of advanced methods such as latent variable models and linear growth curve models. Guidance on how to estimate statistical power to detect mediation for these models has not yet been addressed in the literature. We describe a general framework for power analyses for complex mediational models. The approach is based on the well ...

Testing mediation models is critical for identifying potential variables that need to be targeted to effectively change one or more outcome variables. In addition, it is now common practice for clinicians to use multiple informant (MI) data in studies of statistical mediation. By coupling the use of MI data with statistical mediation analysis, clinical researchers can combine the benefits of bo...

OSS embodies the operations that telcos must carry out to meet customer satisfaction and generate revenue. Current and emerging OSS requirements place very strict requirements on the telecommunication management architecture. The distributed mediation-based management architecture has shown the kind of capability required to handle the ever-changing OSS needs. A mediation-based management syste...

Interactive narratives are branching stories with events that change based on feedback from participants. One method of generating interactive narratives is a planbased process called mediation. A sub-process within mediation called accommodation creates new story content when a participant deviates from the main storyline. We show that a model of character knowledge allows accommodation to fin...

With over 1 million children in the United States affected by parental divorce or separation each year, there is interest in interventions to mitigate the potential negative consequences of divorce on children. Family mediation has been widely heralded as a better solution than litigation; however, mediation does not work for all families. One proposed improvement involves bringing the child’s ...