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This is a Literature Review study.

August 20, 2025Open Access

Robust Statistical Methods and the Credibility Movement of Psychological Science

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Authors

MSMartina SladekovaUniversity of Sussex AFAndy P. FieldUniversity of Sussex

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Implication

This paper discusses robust estimation methods and their role in improving reproducibility in psychological research, suggesting enhanced analytical transparency.

Key Points

Robust estimation methods improve parameter accuracy and reduce biases in psychological research.
Key methods include bootstrapping and heteroscedasticity-consistent standard errors, enhancing statistical reliability.
Assessment addresses common assumptions of the general linear model and strategies to mitigate violations.
Using these methods may minimize problematic researcher degrees of freedom and support findings' reproducibility.

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Sladekova et al. (2025) studied this question.

synapsesocial.com/papers/68af4eaead7bf08b1ead72a6 https://doi.org/10.31234/osf.io/8ydc6_v2

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Implication

This paper discusses robust estimation methods and their role in improving reproducibility in psychological research, suggesting enhanced analytical transparency.

Robust Statistical Methods and the Credibility Movement of Psychological Science

Discussion

Member takes

Implication

Key Points

Cite This Study

Robust Statistical Methods and the Credibility Movement of Psychological Science

Discussion

Member takes

Implication

Key Points

Cite This Study

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