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Partial eta-squared is an estimate of effect size reported by SPSS, an IBM company, in conjunction with analysis of variance (ANOVA) and generalized linear model (GLM) analyses. Although there is general consensus about the desirability of reporting estimates of effect size in research reports, there is debate about the relative utility of various options. Relative to other options such as eta-squared or omega squared, partial eta-squared is less well understood and less useful. The recent popularity of partial eta-squared appears to rest on its inclusion in the output of popular statistical software rather than its merits as an informative estimate of effect size.

Many social scientific journals require reporting estimates of effect size to supplement tests of statistical significance, and such reporting is considered good practice ...

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