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The crucial role of linearity when comparing effects across studies
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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