The crucial role of linearity when comparing effects across studies

Abstract

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.