Latin square and nested analysis of variance
Analysis of variance and regression. Design of experiments
Article REF: R260 V1
Latin square and nested analysis of variance
Analysis of variance and regression. Design of experiments

Author : Jacques POIRIER

Publication date: January 10, 1993, Review date: August 18, 2022 | Lire en français

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6. Latin square and nested analysis of variance

It is possible to generalize analysis of variance to 3, 4, 5... controlled factors. However, it is not certain that the use of such generalizations is to be recommended. Firstly, because it leads to experiments that are costly in relation to what they generally teach. Secondly, because it is often very difficult to transform the two-by-two or three-by-three interactions uncovered into usable physical conclusions – due to the very complexity of these multiple interactions.

Example

An analysis of variance with four controlled factors A, B, C, D involves the following interactions:

2 to 2: AB, AC, AD, BC, BD, CD 3 to 3: ABC, ACD, ABD, BCD 4 to 4: ABCD

That's eleven possible interactions for which you...

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