Comparing effect sizes between studies is critical for evaluating empirical evidence and gaining a broader understanding of underlying phenomena. However, many effects in psychology are nonlinear, which causes problems for interpreting such comparisons and meta-analyses.
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Bless, H., Wänke, M. The crucial role of linearity when comparing effects across studies. Nat Rev Psychol 2, 516–517 (2023). https://doi.org/10.1038/s44159-023-00220-w
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DOI: https://doi.org/10.1038/s44159-023-00220-w