What does this research mean for the field?

Psychology researchers frequently neglect to check for sources of bias in general linear models, leading to potentially flawed analyses. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.CHALLENGES_CONSENSUS.

What question did this study set out to answer?

The research aims to assess how psychology researchers address biases in general linear models when analyzing data.

February 19, 2026Royal Society Open ScienceOpen Access

Sources of bias in general linear models: evaluating the analytic practice in psychological research

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Authors

MSMartina SladekovaUniversity of Sussex VPVeronika L. PoupaUniversity of Sussex AFAndy P. FieldUniversity of Sussex

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Implication

Evaluates bias sources in general linear models among psychology researchers, suggesting implications for analytic practices.

Key Points

The research aims to assess how psychology researchers address biases in general linear models when analyzing data.
Analyzed 188 psychology researchers' responses to data analytic scenarios.
Coded analytic scripts for attentiveness to bias sources.
Examined checks for non-normal errors, heteroscedasticity, outliers, and influential cases.
Most researchers conducted insufficient checks for bias issues in their analyses.
Researchers teaching research methods performed better checks compared to non-teaching faculty, but the difference was minimal.
The study highlights the need for more robust statistical methods in psychological research.

Cite This Study

Sladekova et al. (2026) studied this question.

synapsesocial.com/papers/6996a8efecb39a600b3f0330 https://doi.org/10.1098/rsos.250076

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Sources of bias in general linear models: evaluating the analytic practice in psychological research

Discussion

Member takes

Implication

Key Points

Cite This Study

Sources of bias in general linear models: evaluating the analytic practice in psychological research

Discussion

Member takes

Implication

Key Points

Cite This Study

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