a research study involving two or more
independent variables in which every possible combination of the levels of each variable is represented. For instance, in a study of two drug treatments, one (A) having two dosages and the other (B) having three dosages, a complete factorial design would pair the dosages administered to different individuals or groups of participants as follows: A
1 with B
1, A
1 with B
2, A
1 with B
3, A
2 with B
1, A
2 with B
2, and A
2 with B
3. Compare
fractional factorial design.