Introduction to mediation analysis with structural equation modeling
TLDR
Investigating mediational processes that clarify how the treatment achieves the study outcome can further the understanding of the pathology of the disease and the mechanisms of treatment, but may also be able to identify alternative, more efficient, intervention strategies.Abstract:
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, not only can we further our understanding of the pathology of the disease and the mechanisms of treatment, but we may also be able to identify alternative, more efficient, intervention strategies. For example, a tobacco prevention program may teach participants how to stop taking smoking breaks at work (the intervention) which changes their social norms about tobacco use (the intermediate mediator) and subsequently leads to a reduction in smoking behavior (study outcome).read more
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Determining Power and Sample Size for Simple and Complex Mediation Models
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Distinctive roles of age, sex, and genetics in shaping transcriptional variation of human immune responses to microbial challenges
Barbara Piasecka,Darragh Duffy,Alejandra Urrutia,Alejandra Urrutia,Hélène Quach,Etienne Patin,Celine Posseme,Jacob Bergstedt,Bruno Charbit,Vincent Rouilly,Cameron Ross MacPherson,Milena Hasan,Benoit Albaud,David Gentien,Jacques Fellay,Jacques Fellay,Matthew L. Albert,Matthew L. Albert,Lluis Quintana-Murci +18 more
TL;DR: The respective effects of age, sex, genetics, and cellular heterogeneity on the interindividual variability of immune responses are quantified and constitutes a valuable resource for further exploration in the context of different infection risks or disease outcomes.
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Personality predicts mortality risk: An integrative data analysis of 15 international longitudinal studies
Eileen K Graham,Joshua Rutsohn,Nicholas A. Turiano,Rebecca Bendayan,Philip J. Batterham,Denis Gerstorf,Mindy J. Katz,Chandra A. Reynolds,Emily S. Sharp,Tomiko Yoneda,Emily D. Bastarache,Lorien G. Elleman,Elizabeth M. Zelinski,Boo Johansson,Diana Kuh,Lisa L. Barnes,David A. Bennett,Dorly J. H. Deeg,Richard B. Lipton,Nancy L. Pedersen,Andrea M. Piccinin,Avron Spiro,Avron Spiro,Graciela Muniz-Terrera,Sherry L. Willis,K. Warner Schaie,Carol L. Roan,Pamela Herd,Scott M. Hofer,Daniel K. Mroczek +29 more
TL;DR: It was found that high neuroticism and low conscientiousness, extraversion, and agreeableness were consistent predictors of mortality across studies, and smoking had a small mediating effect for neuroticism.
References
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Journal ArticleDOI
The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.
Reuben M. Baron,David A. Kenny +1 more
TL;DR: This article seeks to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating the many ways in which moderators and mediators differ, and delineates the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena.
Journal ArticleDOI
An inventory for measuring depression
TL;DR: The difficulties inherent in obtaining consistent and adequate diagnoses for the purposes of research and therapy have been pointed out and a wide variety of psychiatric rating scales have been developed.
Book
Structural Equations with Latent Variables
TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
Book
Introduction to Statistical Mediation Analysis
TL;DR: In this paper, the authors introduce the statistical, methodological, and conceptual aspects of mediation analysis applications from health, social, and developmental psychology, sociology, communication, exercise science, and epidemiology are emphasized throughout Singlemediator, multilevel, and longitudinal models are reviewed.
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