Eta-squared
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Eta-squared () is a measure of effect size for use in ANOVA (Analysis of variance).
is analogous to R^{2} from multiple linear regression.
- = SSbetween / SStotal = SSB / SST
- = proportion of variance in Y explained by X
- = squared non-linear correlation coefficient
ranges between 0 and 1.
Interpret as for r^{2} or R^{2}; a rule of thumb (Cohen):
- .01 ~ small
- .06 ~ medium
- >.14 ~ large
In SAS, eta-squared statistics can be found in semi-partial eta-squared statistics in SAS 9.2.
The eta-squared column in SPSS F-table output is actually partial eta-squared () in versions of SPSS prior to V 11.0. ^{[1]}
was not previously provided by SPSS, however, it is available in V 18.0. It can also be calculated manually: = Between-Groups Sum of Squares / Total Sum of Squares.
R^{2} is provided at the bottom of SPSS F-tables is the linear effect as per MLR – however, if an IV has 3 or more non-interval levels, this won’t equate with .
ReferencesEdit
- ↑ CAUTIONARY NOTE ON REPORTING ETA-SQUARED VALUES FROM MULTIFACTOR ANOVA DESIGNS. Pierce C.A., Block, C.A. & Aguinis, H. Educational and Psychological Measurement 64(6), 2004.