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Understanding Eta and Eta Squared in SPSS
May 19, 2025
Lecture on Calculating and Interpreting
Eta
and
Eta Squared
using SPSS
Introduction
Presenter: Dr. Grande
Topic: Using SPSS to Calculate and Interpret Eta and Eta Squared
Context: Measure of association for nominal and scale level variables
Data Description
Variables:
Independent Variable:
Treatment (Individual, Group, Treatment as Usual)
Coded as 0, 1, 2
Dependent Variable:
Depression
Recorded as continuous T-scores (Mean = 50, SD = 10)
Calculating Eta in SPSS
Navigate to
: Analyze > Descriptive Statistics > Crosstabs
Configuration
:
Move
Independent Variable (treatment)
to the row list
Move
Dependent Variable (depression)
to the column list
Statistics dialog
:
Under "Nominal by Interval", select
Eta
Results
:
Case Processing Summary: 45 observations, no missing values
Crosstabulation for treatment and depression shows counts
Directional Measures for Eta:
Value when depression is the dependent variable:
0.907
Interpretation of Eta:
Range: 0 (no association) to 1 (perfect association)
0.907 indicates a strong association
Calculating Eta Squared
Formula
: Square the Eta value
Example: Eta = 0.907, Eta Squared = 0.907² = 0.823224
Interpretation
: Measures variation explained in the dependent variable by the independent variable
Comparison with Partial Eta Squared
Definition
:
Eta Squared: Sum of squares between / Sum of squares total
Partial Eta Squared: Sum of squares between / (Sum of squares total + Sum of squares error)
One-way ANOVA
:
In one-way ANOVA, Eta Squared = Partial Eta Squared
Example: Partial Eta Squared also calculated as 0.823224
Complex Models
:
The values differ
Effect Size Interpretation
Guidelines:
Small: 0.02 or 2%
Medium: 0.13 or 13%
Large: 0.26 or 26%
Example
:
Eta Squared = 0.82 or 82% implies a large effect size
Conclusion
Video aims to help understand calculation and interpretation of Eta and Eta Squared in SPSS
Questions or concerns can be directed to Dr. Grande for assistance
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Full transcript