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Author: Lamp, Sophia J.
Resulting in 1 citation.
1. MacKinnon, David P.
Lamp, Sophia J.
A Unification of Mediator, Confounder, and Collider Effects
Prevention Science published online (23 June 2021): DOI: 10.1007/s11121-021-01268-x.
Also: https://link.springer.com/article/10.1007/s11121-021-01268-x
Cohort(s): NLSY97
Publisher: Springer
Keyword(s): Family Income; Health/Health Status/SF-12 Scale; Modeling; Personality/Big Five Factor Model or Traits; Statistical Analysis

Permission to reprint the abstract has not been received from the publisher.

Third-variable effects, such as mediation and confounding, are core concepts in prevention science, providing the theoretical basis for investigating how risk factors affect behavior and how interventions change behavior. Another third variable, the collider, is not commonly considered but is also important for prevention science. This paper describes the importance of the collider effect as well as the similarities and differences between these three third-variable effects. The single mediator model in which the third variable (T) is a mediator of the independent variable (X) to dependent variable (Y) effect is used to demonstrate how to estimate each third-variable effect. We provide difference in coefficients and product of coefficients estimators of the effects and demonstrate how to calculate these values with real data. Suppression effects are defined for each type of third-variable effect. Future directions and implications of these results are discussed.
Bibliography Citation
MacKinnon, David P. and Sophia J. Lamp. "A Unification of Mediator, Confounder, and Collider Effects." Prevention Science published online (23 June 2021): DOI: 10.1007/s11121-021-01268-x.