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September 5, 2025Open Access

Sibling Models Can Test Causal Claims without Experiments: Applications for Psychology

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Authors

SGS. Mason GarrisonLinköping University JTJonathan D. TrattnerWake Forest University XLXuanyu LyuUniversity of Colorado Boulder

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Implication

This analysis demonstrates how genetically informed designs reveal causal claims in psychology, highlighting the role of covariates and familial influences.

Key Points

Using genetically informed designs enhances causal inference by controlling for genetic and environmental confounds.
Sibling comparisons allow researchers to distinguish within-family variance from between-family effects, improving findings.
Results diverged significantly when familial confounding was addressed, showing the importance of familial influences.
Applications across four vignettes illustrate the method's versatility in addressing health outcomes and individual differences.

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Garrison et al. (2025) studied this question.

synapsesocial.com/papers/68bb42142b87ece8dc958599 https://doi.org/10.1101/2025.08.25.25334395

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Implication

This analysis demonstrates how genetically informed designs reveal causal claims in psychology, highlighting the role of covariates and familial influences.

Sibling Models Can Test Causal Claims without Experiments: Applications for Psychology

Discussion

Member takes

Implication

Key Points

Cite This Study

Sibling Models Can Test Causal Claims without Experiments: Applications for Psychology

Discussion

Member takes

Implication

Key Points

Cite This Study

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