Literature DB >> 11885063

Moderating and mediating effects in causal models.

J S Kim1, J Kaye, L K Wright.   

Abstract

This article explains causal relationships in conceptual models of mental health phenomena. Direct, moderating, mediating, and reciprocal effects among variables are defined, appropriate statistical analyses are described, and the correct interpretations of moderating versus mediating effects are discussed. Examples are provided that will help the reader to distinguish between moderating and mediating effects.

Mesh：

Year:  2001        PMID： 11885063     DOI： 10.1080/016128401750158768

Source DB:  PubMed          Journal:  Issues Ment Health Nurs        ISSN： 0161-2840            Impact factor:   1.835


  3 in total

1.  Apolipoprotein B attenuates albuminuria-associated cardiovascular disease in prevention of renal and vascular endstage disease (PREVEND) participants.

Authors:  James P Corsetti; Ron T Gansevoort; Stephan J L Bakker; Charles E Sparks; Priya Vart; Robin P F Dullaart
Journal:  J Am Soc Nephrol       Date:  2014-05-22       Impact factor: 10.121

2.  Volunteerism and self-selection bias in human positron emission tomography neuroimaging research.

Authors:  Lynn M Oswald; Gary S Wand; Shijun Zhu; Victoria Selby
Journal:  Brain Imaging Behav       Date:  2013-06       Impact factor: 3.978

3.  Body image mediates the depressive effects of weight gain in new mothers, particularly for women already obese: evidence from the Norwegian Mother and Child Cohort Study.

Authors:  Seung-Yong Han; Alexandra A Brewis; Amber Wutich
Journal:  BMC Public Health       Date:  2016-07-29       Impact factor: 3.295
  3 in total

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