2015
DOI: 10.3389/fpsyg.2014.01549
|View full text |Cite
|
Sign up to set email alerts
|

A cautionary note on the power of the test for the indirect effect in mediation analysis

Abstract: Recent simulation studies have pointed to the higher power of the test for the mediated effect vs. the test for the total effect, even in the presence of a direct effect. This has motivated applied researchers to investigate mediation in settings where there is no evidence of a total effect. In this paper we provide analytical insight into the circumstances under which higher power of the test for the mediated effect vs. the test for the total effect can be expected in the absence of a direct effect. We argue … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

6
65
1
1

Year Published

2016
2016
2023
2023

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 79 publications
(73 citation statements)
references
References 33 publications
(66 reference statements)
6
65
1
1
Order By: Relevance
“…With regard to the ICP outcomes, the presence of the total effect (c) of partners' helping motivation on ICP outcomes was not a prerequisite for testing indirect effects. 29 Robustness of the mediated effects against unmeasured common causes (or confounders) of the mediator and outcome was assessed by means of sensitivity analyses. We found that for our mediated effects, relatively strong effects of such unmeasured time-varying common causes of M (ie, ICPs' need satisfaction/frustration) and Y (ie, different ICP outcomes) are needed to yield zero (or nonsignificant) mediated effects.…”
Section: The Mediating Role Of Need Satisfaction and Need Frustrationmentioning
confidence: 99%
“…With regard to the ICP outcomes, the presence of the total effect (c) of partners' helping motivation on ICP outcomes was not a prerequisite for testing indirect effects. 29 Robustness of the mediated effects against unmeasured common causes (or confounders) of the mediator and outcome was assessed by means of sensitivity analyses. We found that for our mediated effects, relatively strong effects of such unmeasured time-varying common causes of M (ie, ICPs' need satisfaction/frustration) and Y (ie, different ICP outcomes) are needed to yield zero (or nonsignificant) mediated effects.…”
Section: The Mediating Role Of Need Satisfaction and Need Frustrationmentioning
confidence: 99%
“…Although the indirect pathway between shift work and subjective cognitive function was statistically significant, the total effect was not, even though these estimates were both in the same direction. This may have resulted because the detection of significant indirect effects requires less study power and stronger assumptions about unmeasured confounding compared with total or direct effects 54. Finally, the cross-sectional study design limits our ability examine causal relationships.…”
Section: Discussionmentioning
confidence: 99%
“…First, although for both social and appearance contingency the indirect effect (from feedback via self-esteem) was significant and the direct effect was not, our sample direct effect actually was much stronger than (social) or equal to (appearance) the indirect effect. Most likely, this counterintuitive result is a consequence of the greater power of the test for the indirect effect in comparison to the direct and total effect (e.g., Kenny & Judd, 2014); this can, at least in some circumstances, create a greater probability of making Type I errors (Loeys, Moerkerke, & Vansteelandt, 2015). Second, in studies like ours where the relationship between the mediator (self-esteem) and the dependent variable (contingency) is not under experimental control, estimates and tests for the indirect effect are vulnerable to bias due to possible common causes for mediator and outcome (Loeys et al, 2015).…”
Section: Role Of Self-esteemmentioning
confidence: 99%
“…Most likely, this counterintuitive result is a consequence of the greater power of the test for the indirect effect in comparison to the direct and total effect (e.g., Kenny & Judd, 2014); this can, at least in some circumstances, create a greater probability of making Type I errors (Loeys, Moerkerke, & Vansteelandt, 2015). Second, in studies like ours where the relationship between the mediator (self-esteem) and the dependent variable (contingency) is not under experimental control, estimates and tests for the indirect effect are vulnerable to bias due to possible common causes for mediator and outcome (Loeys et al, 2015). For example, personality differences that influence both contingency and self-esteem might inadvertently be part of our indirect effect estimate.…”
Section: Role Of Self-esteemmentioning
confidence: 99%