The Mixed ANOVA with Two Treatments performs three-way mixed-design ANOVA with two between-subjects factors and one within-subjects factor.  All groups are assumed to be of the same size. The design is also known as double blind mixed design.

How To

Run: Statistics→ANOVA → Mixed ANOVA with Two Treatments...

Select two between-subjects variables  (factor A, factor B) containing the treatment group codes.

Select variables with repeated measures.

Casewise deletion method is used for missing values removal.

Results

A report includes analysis of variance summary table and descriptive statistics for the treatments.

Analysis of variance table

Source of Variation - the source of variation (term in the model).
SS (Sum of Squares) - the sum of squares for the term.

DF (Degrees of freedom) - the number of observations for the corresponding model term.

MS (Mean Square)  - an estimate of the variation accounted for the term.

F - the F-test statistic.

p-level  - the significance level of the F-test.  If p-level is less than the significance level  - the null hypothesis is rejected, and we can conclude that not all of the group means are equal.

References

[WIN] Winer, B. J. Statistical Principles in Experimental Design. New York: McGraw-Hill, 1971.

[STE] Stevens, James. Applied Multivariate Statistics for the Social Sciences. Mahwah, N.J.: Lawrence Erlbaum Associates, 1996.

[SHA] Shaughnessy J.J., Research Methods in Psychology. New York: McGraw-Hill, 2006.