June 28, 2024

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

Methodological review reveals ordinary least squares vulnerability in psychological science, highlighting robust estimation to curb researcher flexibility.

Key Points

Ordinary least squares produces unbiased estimates within the general linear model only when data fulfill strict distributional assumptions.
Analytic flexibility in resolving violated assumptions threatens scientific reproducibility through uncontrolled researcher degrees of freedom.
Methodological evaluation introduces bootstrapping, M-estimators, and trimming to improve parameter accuracy and statistical power in analyses.

Cite This Study

Sladekova et al. (2024) studied this question.

synapsesocial.com/papers/68e62c2eb6db6435875becd5 https://doi.org/10.31234/osf.io/8ydc6

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Implication

Methodological review reveals ordinary least squares vulnerability in psychological science, highlighting robust estimation to curb researcher flexibility.

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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