--- title: "Aliasing (factorial experiments)" chunk: 3/7 source: "https://en.wikipedia.org/wiki/Aliasing_(factorial_experiments)" category: "reference" tags: "science, encyclopedia" date_saved: "2026-05-05T09:48:49.670316+00:00" instance: "kb-cron" --- === The 2 × 2 × 2 (or 2³) experiment === This is a "two-level" experiment with factors A , B {\displaystyle A,B} and C {\displaystyle C} . In such experiments the factor levels are often denoted by 0 and 1, for reasons explained below. A treatment combination is then denoted by an ordered triple such as 101 (more formally, (1, 0, 1), denoting the cell in which A {\displaystyle A} and C {\displaystyle C} are at level "1" and B {\displaystyle B} is at level "0"). The following table lists the eight cells of the full 2 × 2 × 2 factorial experiment, along with a contrast vector representing each effect, including a three-factor interaction: Suppose that only the fraction consisting of the cells 000, 011, 101, and 110 is observed. The original contrast vectors, when restricted to these cells, are now 4 × 1, and can be seen by looking at just those four rows of the table. (Sorting the table on A B C {\displaystyle ABC} will bring these rows together and make the restricted contrast vectors easier to see. Sorting twice puts them at the top.) The following can be observed concerning these restricted vectors: The A B C {\displaystyle ABC} column consists just of the constant 1 repeated four times. The other columns are contrast vectors, having two 1's and two −1s. The columns for C {\displaystyle C} and A B {\displaystyle AB} are equal. The same holds for A {\displaystyle A} and B C {\displaystyle BC} , and for B {\displaystyle B} and A C {\displaystyle AC} . All other pairs of columns are orthogonal. For example, the column for A {\displaystyle A} is orthogonal to that for B {\displaystyle B} , for C {\displaystyle C} , for A B {\displaystyle AB} , and for A C {\displaystyle AC} , as one can see by computing dot products. Thus the A B C {\displaystyle ABC} interaction is completely lost in the fraction; the other effects are preserved in the fraction; the effects A {\displaystyle A} and B C {\displaystyle BC} are completely aliased with each other, as are B {\displaystyle B} and A C {\displaystyle AC} , and C {\displaystyle C} and A B {\displaystyle AB} . all other pairs of effects are unaliased. For example, A {\displaystyle A} is unaliased with both B {\displaystyle B} and C {\displaystyle C} and with the A B {\displaystyle AB} and A C {\displaystyle AC} interactions. Now suppose instead that the complementary fraction {001,010,100,111} is observed. The same effects as before are lost or preserved, and the same pairs of effects as before are mutually unaliased. Moreover, A {\displaystyle A} and B C {\displaystyle BC} are still aliased in this fraction since the A {\displaystyle A} and B C {\displaystyle BC} vectors are negatives of each other, and similarly for B {\displaystyle B} and A C {\displaystyle AC} and for C {\displaystyle C} and A B {\displaystyle AB} . Both of these fractions thus have maximum resolution 3. == Aliasing in regular fractions == The two half-fractions of a 2 3 {\displaystyle 2^{3}} factorial experiment described above are of a special kind: Each is the solution set of a linear equation using modular arithmetic. More exactly: The fraction { 000 , 011 , 101 , 110 } {\displaystyle \{000,011,101,110\}} is the solution set of the equation t 1 + t 2 + t 3 = 0 ( mod 2 ) {\displaystyle t_{1}+t_{2}+t_{3}=0{\pmod {2}}} . For example, 011 {\displaystyle 011} is a solution because 0 + 1 + 1 = 0 ( mod 2 ) {\displaystyle 0+1+1=0{\pmod {2}}} . Similarly, the fraction { 001 , 010 , 100 , 111 } {\displaystyle \{001,010,100,111\}} is the solution set to t 1 + t 2 + t 3 = 1 ( mod 2 ) {\displaystyle t_{1}+t_{2}+t_{3}=1{\pmod {2}}} Such fractions are said to be regular. This idea applies to fractions of "classical" s k {\displaystyle s^{k}} designs, that is, s k {\displaystyle s^{k}} (or "symmetric") factorial designs in which the number of levels, s {\displaystyle s} , of each of the k {\displaystyle k} factors is a prime or the power of a prime. A fractional factorial design is regular if it is the solution set of a system of one or more equations of the form a 1 t 1 + ⋯ + a k t k = b , {\displaystyle a_{1}t_{1}+\cdots +a_{k}t_{k}=b,}