Mixed ANOVA with Two Treatments

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.