Admittedly, the use of large datasets makes most analyses yield either clearly significant or non-significant results, due to the large sample sizes, thus making the distinction between the practical relevance or meaningful effect size important to consider (e.g., ‘smallest effect size of interest’; Lakens et al. 2018 ), rather than the statistical significance itself.
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Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain.
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