June 28, 2024

Psychology Researchers' Self-Reported Knowledge of Sources of Bias in General Linear Models and How it Affects Their Analytic Practice

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Authors

MSMartina SladekovaUniversity of Sussex AFAndy P. FieldUniversity of Sussex

Discussion

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Implication

Survey reveals frequent neglect of statistical assumptions in psychology researchers, highlighting ongoing concerns regarding research reproducibility.

Key Points

Psychologists frequently overlook statistical assumptions in general linear models, as 794 surveyed researchers exhibited major gaps in diagnostic understanding.
Survey assessment using Bayesian ordinal models evaluated self-reported practices, comparing highest posterior density intervals across teaching and research roles.
Highlights pervasive risks of parameter estimation bias in published literature, underscoring urgent methodological reforms amid the reproducibility crisis.

Cite This Study

Sladekova et al. (2024) studied this question.

synapsesocial.com/papers/68e62d5fb6db6435875bfa39 https://doi.org/10.31234/osf.io/uhswb

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Implication

Survey reveals frequent neglect of statistical assumptions in psychology researchers, highlighting ongoing concerns regarding research reproducibility.

Psychology Researchers' Self-Reported Knowledge of Sources of Bias in General Linear Models and How it Affects Their Analytic Practice

Discussion

Member takes

Implication

Key Points

Cite This Study

Psychology Researchers' Self-Reported Knowledge of Sources of Bias in General Linear Models and How it Affects Their Analytic Practice

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider