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This is a Quantitative Study study.

September 30, 2025PeerJOpen Access

Robust statistical methods and the credibility movement of psychological science

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This analysis reveals the role of robust estimation methods in improving parameter estimates, suggesting better practices for Type I error reduction.

Robust estimation methods enhance parameter estimates, improving accuracy in psychological research.
The ordinary least squares method can produce biased results if assumptions are not met, risking reproducibility.
Using bootstrapping and sensitivity analysis helps address data-driven errors and strengthens statistical reliability.
Developing transparent preregistration practices can reduce researcher degrees of freedom and improve findings credibility.

Sladekova et al. (2025) studied this question.

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This analysis reveals the role of robust estimation methods in improving parameter estimates, suggesting better practices for Type I error reduction.