At the most "basic level", this is a very simple method, which is easy to understand.The "basics" is just subtracting one value from another. The "basics", can be very revealing, in showing differences between "intermediate, virtual results". For "clarification of understanding", most of these calculations are based on "idealised results", where the "calculated results" are matches to the "obviously expected results". (The "originally inputted results".) Furthermore, more "clarification of understanding" is achieved by using "children's stacking blocks", with "binary numbers" written on them, as "equivalents", to the "experimental results". Also the "data set used is a simple experimental version" - 3 variables (C = clear = 100, B = black = 010, A = amber = 001; N = NO blocks with NO numbers) at 2 levels (0 = Absent;u2006 u2006 1 = Present.)This gives 8 possible "combination", variations:- NNN, NNA, NBN, NBA, CNN, CNA, CBN, CBA BLOCK COLOUR /VARIABLE 000, 001, 010, 011, 100, 101, 110, 111 BINARY NUMBERS ##0, ##1, ##2, ##3, ##4, ##5, ##6, ##7 DECIMAL NUMBERS ##0, ##1, ##2, ##3, ##4, ##5, ##6, #11 "Test Data" BINARY NUMBERS Needs a 1 at the beginning to "keep all 3 numbers in place", for computer calculations! It is fairly easy to extrapolate this method to more variables and more levels. e.g. using trinary numbers. This method is easier and better than Yates Analysis Effects or ANalysis Of VAriance (ANOVA).