• Journal of Preventive Medicine and Public Health
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• v.54 no.3
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• pp.166-172
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• 2021

Traditional epidemiological assessments, which mainly focused on evaluating the statistical association between two major components-the exposure and outcome-have recently evolved to ascertain the in-between process, which can explain the underlying causal pathway. Mediation analysis has emerged as a compelling method to disentangle the complex nature of these pathways. The statistical method of mediation analysis has evolved from simple regression analysis to causal mediation analysis, and each amendment refined the underlying mathematical theory and required assumptions. This short guide will introduce the basic statistical framework and assumptions of both traditional and modern mediation analyses, providing examples conducted with real-world data.

• Journal of Preventive Medicine and Public Health
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• v.56 no.4
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• pp.303-311
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• 2023

Traditional mediation analysis, which relies on linear regression models, has faced criticism due to its limited suitability for cases involving different types of variables and complex covariates, such as interactions. This can result in unclear definitions of direct and indirect effects. As an alternative, causal mediation analysis using the counterfactual framework has been introduced to provide clearer definitions of direct and indirect effects while allowing for more flexible modeling methods. However, the conceptual understanding of this approach based on the counterfactual framework remains challenging for applied researchers. To address this issue, the present article was written to highlight and illustrate the definitions of causal estimands, including controlled direct effect, natural direct effect, and natural indirect effect, based on the key concept of nested counterfactuals. Furthermore, we recommend using 2 R packages, 'medflex' and 'mediation', to perform causal mediation analysis and provide public health examples. The article also offers caveats and guidelines for accurate interpretation of the results.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.111-121
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• 2016

This study provides an approach to perform the double mediation analysis in structural equation models using the R. For this purpose, the study reviews a variety of techniques for mediation analysis, selects the bootstrapping technique as the most suitable way for performing the double mediation analysis and develops an approach for the double mediation analysis in structural equating models with the bootstrapping using the plspm which is the R package for the performing PLS path analysis. This study will be useful for the studies including the double mediation analysis in structural equation modeling, which is not supported by most of SEM packages, also will provide the knowledge base for in-depth analysis through suggesting the new mediation analysis technique using R for the researchers.

• Journal of the Korean Data and Information Science Society
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• v.28 no.3
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• pp.669-684
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• 2017

Mediation models are widely used in many fields of research and have recently gained attention in epidemiology. The mediation proportion is a standard measure to evaluate what part of the total exposure effect on an outcome may be explained by a particular mediator and to examine how important that pathway is relative to the overall exposure effect. A common question is how large a sample size is needed to achieve high statistical power or, equivalently, what magnitude of effect can be detected. Current power and sample size calculations for mediation analysis are limited and additional research is needed. We therefore propose a computer-intensive power analysis using the mediation proportion. We conduct simulation studies to calculate statistical powers and sample sizes. And then, we illustrate our power analysis using an example from the Adult Health Study of atomic-bomb survivors and demonstrate that the method is relatively straightforward to understand and compute.

• Korean Journal of Childcare and Education
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• v.19 no.1
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• pp.43-67
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• 2023

Objective: This study aimed to validate a scale which could measure the correct mediation behavior of parents for their children's smart media use. Methods: The subjects were comprised of 514 parents of 5-year-old children. The collected data were analyzed using Jasp. Results: First, in the primary validation process, a total of 19 items and five factors were extracted through exploratory factor analysis. Through secondary validation process, we found that the scale model satisfies the goodness-of-fit evaluation criteria and is valid through confirmatory factor analysis. The newly constructed parents smart media mediation scale in early childhood emerged as a valid and reliable scale. Second, it was found that the more parents pursue 'active mediation', 'instructive mediation', and 'supervision', and avoid 'co-viewing', and 'technical restrictions', the more they had a positive effect on children's smart media usage capabilities. Third, the total score of smart media mediation for young children's parents was found to significantly differentiate young children's smart media overdependence, and self-regulation. Conclusion/Implications: The final smart media mediation scale for young children's parents was composed of 19 items, with five factors: 'co-viewing', 'instructive mediation', 'technical restrictions', 'active mediation', and 'supervision'.

• Journal of Arbitration Studies
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• v.23 no.2
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• pp.37-54
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• 2013

This article focuses on integrating institutional mediation systems, especially the analysis of the leading ADR operation. Mediation is a process in which an impartial third party, a mediator, facilitates the resolution of a dispute by promoting voluntary agreements by the parties to the dispute. A mediator facilitates communications, promotes understanding, focuses the parties on their interests, and seeks agreement. These standards give meaning to this definition of mediation. Standard mediation clauses are construed as broadly as possible, and mediation is compelled unless it may be said with positive assurance that the mediation process is not susceptible to an interpretation that covers the asserted dispute. Performing the conflicts check early in the process helps in eliminating any awkwardness or delays caused by making disclosures after mediation commences. Mediator impartiality is central to the mediation process. A mediator should mediate only those matters in which she or he can remain impartial and evenhanded. If at any time the mediator is unable to conduct the process in an impartial manner, the mediator is obligated to withdraw.

• Journal of the Korean Society of Safety
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• v.39 no.1
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• pp.114-122
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• 2024

This study aimed to identify the multiple mediation effects of job satisfaction and job commitment on the relationships between job stress and workers' safety behavior in terms of compliance and participation, in which the multiple mediation effects are a hybrid of parallel and serial mediating relationships. The multiple mediation model was analyzed using the bootstrapping method through the PROCESS macro tool in SPSS. The results showed that job stress negatively affects job satisfaction, job commitment, and workers' safety behavior, and the relationship between job stress and safety behavior is mediated by both job satisfaction and job commitment. The serial mediation effects of job satisfaction and job commitment were also found to be statistically significant in the regression relationship between job stress and safety behavior. Further analysis of the compliance and participation subdimensions of safety behavior showed similar results. Specifically, the serial mediation effects of job satisfaction and job commitment on participation and compliance behavior were further supported; however, the mediation effect of job satisfaction was not significant, whereas that of job commitment did remain significant. Further research is needed to determine if the mediation effect of job satisfaction found in this study can be extended and generalized to workers in various fields and industries.

• Knowledge Management Research
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• v.20 no.2
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• pp.1-24
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• 2019

This tutorial introduces procedures and methods for performing structural equation modeling using R. To do this, we present advanced analysis methods based on structural equation model such as mediation effect analysis, moderation effect analysis, moderated mediation effect analysis, and multiple-group analysis with R program code using R lavaan package that supports structural equation modeling. R is flexible and scalable, unlike traditional commercial statistical packages. Therefore, new analytical techniques are likely to be implemented ahead of any other statistical package. From this point of view, R will be a very appropriate choice for applying new analytical techniques or advanced techniques that researchers need. Considering that various studies in the social sciences are applying structural equations modeling techniques and increasing interest in open source R, this tutorial is expected to be useful for researchers who are looking for alternatives to existing commercial statistical packages.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.361-368
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• 2022

This study seeks to determine the research trend of late adolescents by utilizing big data. Also, seek for research trends related to activity participation, treatment, and mediation to provide academic implications. For this process, gathered 1.000 academic papers and used TF-IDF analysis method, and the topic modeling based on co-occurrence word network analysis method LDA (Latent Dirichlet Allocation) to analyze. In conclusion this study conducted analysis of activity participation, treatment, and mediation of late adolescents by TF-IDF analysis method, co-occurrence word network analysis method, and topic modeling analysis based on LDA(Latent Dirichlet Allocation). The results were proposed through visualization, and carries significance as this study analyzed activity, treatment, mediation factors of late adolescents, and provides new analysis methods to figure out the basic materials of activity participation trends, treatment, and mediation of late adolescents.

• International Commerce and Information Review
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• v.6 no.2
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• pp.43-62
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• 2004

The present study reviewed the meanings of mediation and the roles of mediators, and examined the necessities of online mediation system, prerequisites for the settlement of the system, foreign cases of promoting online mediation and the current state of online mediation in Korea. It also identified problems in the mediation system in Korea and, based on the analysis of problems, discussed directions for the development of Korean mediation system in broad perspective. Directions for the development of Korean online mediation system suggested in this study can be summarized as follows. Firstly, the government must make an unsparing investment in order to activate online mediation system in Korea. Secondly, from the aspect of online mediation procedure, it is necessary to introduce online mediation system in combination with online seal system or certification marks. Thirdly, the judicial circle must take an amicable attitude toward ADR system and, furthermore, it is necessary for the court to be active in introducing various ADR systems. Fourthly, it is necessary to establish an integrated mediation system for the efficiency of mediation and cost saving. Fifthly, mediators must be provided with systematic and exhaustive periodical retraining programs. Lastly, it is necessary to help people to recognize that mediation system is a better service than other forms of dispute resolution procedure and particularly to enhance users' confidence in online mediation through advertising its advantages and safety. Moreover, in order to make e-commerce-related online dispute resolution available to everybody, it is necessary to overcome language barriers by establishing perfect service systems including automatic translation system in the governmental dimension.