Skip to main content

Eta Squared

Encyclopedia
Edited by: Published: 2018
+- LessMore information
Download PDF

η2 is a commonly used effect size estimate. It describes the proportion of the total variability in a data set that is associated with an effect. Its value is zero when there is no effect and 1.0 when the effect accounts for 100% of the total variability. η2 is most often used in association with analysis of variance and can be calculated from the analysis of variance summary table.

η2 = Sum of squares effect Sum of squares total.

η2 can also be calculated from published F ratios, as long as all F ratios in the design are reported. Jacob Cohen provided general guidelines for what constitutes small (η2 = .01), medium (η2 = .06), and large (η2 = .14) effect sizes in many areas of ...

Looks like you do not have access to this content.

Reader's Guide

  • All
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • J
  • K
  • L
  • M
  • N
  • O
  • P
  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • X
  • Y
  • Z

      Copy and paste the following HTML into your website