When we conduct a multi-factor ANOVA with SPSS software, does the mean square in the output mean MSE that reported in many papers. Thanks!
Zhanxing Li Following link might resolve your query.
https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/anova/supporting-topics/anova-statistics/understanding-mean-squares/#:~:text=ANOVA,variation%20between%20the%20sample%20means.
Dear Zhanxing Li,
Take a look at the data below:
What does mean square mean in ANOVA?
In ANOVA, mean squares are used to determine whether factors (treatments) are significant. The treatment mean square is obtained by dividing the treatment sum of squares by the degrees of freedom. The treatment mean square represents the variation between the sample means.
What does mean square in SPSS mean?
The Mean Square for Within Groups is often called “Mean Square Error”, or Mse. Note that each mean square is the relevant Sum of Squares divided by its degrees of freedom (D.F.). The F-ratio is MSt/Mse. F-prob. is the significance level for the F-ratio. SPSS only shows this to three digits - so the fact that it says .
SPSS TUTORIALS: ONE-WAY ANOVA
https://libguides.library.kent.edu/spss/onewayanova
Two-way ANOVA in SPSS Statistics
https://statistics.laerd.com/spss-tutorials/two-way-anova-using-spss-statistics-2.php
No. The term mean square is obtained by dividing the term sum of squares by the degrees of freedom. The mean square of the error (MSE) is obtained by dividing the sum of squares of the residual error by the degrees of freedom :)
- Badges
- Science method
- Similar topics
- Mathematics
- Statistics
- Statistical Modeling
- Analyses of Variance
- ANOVA