Best practice guidance for linear mixed-effects models in psychological science
By Lotte Meteyard, Robert A. I. Davies. Journal of Memory and Language, 2019
595 citations recorded by the source corpus.
The use of Linear Mixed Effects Models (LMMs) is set to dominate statistical analyses in psychological science and may become the default approach to analyzing quantitative data. The rapid growth in adoption of LMMs has been matched by a proliferation of differences in practice. Unless this diversity is recognized, and checked, the field shall reap enormous difficulties in the future when attempts are made to consolidate or synthesize research findings. The proposed article examines the diversity in modeling practice by two methods – a survey of researchers (n=163) and a quasi-systematic review of papers using LMMs (n=400). The survey reveals substantive concerns among psychologists using or planning to use LMMs and an absence of agreed standards. The review of papers complement the survey, showing variation in how the models are built, how effects are evaluated and, most worryingly, how models are reported. Using this data as our departure point, we present a set of best practice guidance for reporting LMMS. It is the authors’ intention that the paper supports a step-change in the reporting of LMMS across the psychological sciences, preventing a future void in which data reported today cannot be transparently understood and used tomorrow.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a59ea70e51a64d9cadda87c0bedd1c44cc81eb48
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In Experimental and Cognitive Psychology
In Statistics and Probability
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- G. Stewart
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Citations in the corpus
- Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension (2021, methodology): “For model selection and justification, principles from ordinary regression analyses apply to meta-regressions too (Gelman & Carlin, 2014; Harrison et al., 2018; Meteyard & Davies, 2020).”
- Age-Dependent Entropic Features During Propofol Anesthesia in Developing Brain (2025, unknown): “33 Post hoc multiple comparisons among age groups were conducted using the Tukey test to explore the differences in spectral estimates and EEG measures across age groups and anesthetic states.”