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. 2017 Mar 21;17(1):45.
doi: 10.1186/s12874-017-0296-6.

Incorporating nonlinearity into mediation analyses

Affiliations

Incorporating nonlinearity into mediation analyses

George J Knafl et al. BMC Med Res Methodol. .

Abstract

Background: Mediation is an important issue considered in the behavioral, medical, and social sciences. It addresses situations where the effect of a predictor variable X on an outcome variable Y is explained to some extent by an intervening, mediator variable M. Methods for addressing mediation have been available for some time. While these methods continue to undergo refinement, the relationships underlying mediation are commonly treated as linear in the outcome Y, the predictor X, and the mediator M. These relationships, however, can be nonlinear. Methods are needed for assessing when mediation relationships can be treated as linear and for estimating them when they are nonlinear.

Methods: Existing adaptive regression methods based on fractional polynomials are extended here to address nonlinearity in mediation relationships, but assuming those relationships are monotonic as would be consistent with theories about directionality of such relationships.

Results: Example monotonic mediation analyses are provided assessing linear and monotonic mediation of the effect of family functioning (X) on a child's adaptation (Y) to a chronic condition by the difficulty (M) for the family in managing the child's condition. Example moderated monotonic mediation and simulation analyses are also presented.

Conclusions: Adaptive methods provide an effective way to incorporate possibly nonlinear monotonicity into mediation relationships.

Keywords: Adaptive regression; Childhood chronic conditions; Fractional polynomials; Mediation; Moderated mediation; Nonlinearity.

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Figures

Fig. 1
Fig. 1
Linear mediation relationships
Fig. 2
Fig. 2
Monotonic mediation relationships (assuming q0 and p0).
Fig. 3
Fig. 3
Normal plot for the linear mediation model for child adaptation as a function of family functioning as mediated by difficulty with independent omitted factors or errors
Fig. 4
Fig. 4
Normal plot for the monotonic mediation model for child adaptation as a function of family functioning as mediated by difficulty controlling for having Crohn’s disease or a bowel disorder with independent omitted factors or errors
Fig. 5
Fig. 5
Standardized residual plot for the monotonic mediation model for child adaptation as a function of family functioning as mediated by difficulty controlling for having Crohn’s disease or a bowel disorder with independent omitted factors or errors

References

    1. Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychology research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51:1173–82. doi: 10.1037/0022-3514.51.6.1173. - DOI - PubMed
    1. James LR, Brett JM. Mediators, moderators, and tests for mediation. J Appl Psychol. 1984;69:307–21. doi: 10.1037/0021-9010.69.2.307. - DOI
    1. Judd CM, Kenny DA. Process analysis: estimating mediation in treatment evaluation. Eval Rev. 1981;5:602–19. doi: 10.1177/0193841X8100500502. - DOI
    1. Biesanz JC, Falk CF, Salavei V. Assessing mediational models: testing and interval estimation for indirect effects. Multivariate Behav Res. 2010;45:661–701. doi: 10.1080/00273171.2010.498292. - DOI - PubMed
    1. Cheung GW, Lau RS. Testing mediation and suppression effects of latent variables: bootstrapping with structural equation models. Organ Res Meth. 2008;11:296–325. doi: 10.1177/1094428107300343. - DOI

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