Table 3. Four-step correction mechanism and example (three fictitious players with same raw test score but different maturity status). Procedure Example Initialization Fictitious player 1: Late maturer Fictitious player 2: Average maturer Fictitious player 3: Early maturer Variable 1 Indicator of maturity status (MS) Use MS of all the players MS = %RAH MS = 85% MS = 95% MS = 100% Variable 2 Raw test score (RS) Use RS of all the players RS = 40-meter sprint RS = 6.20 sec RS = 6.20 sec RS = 6.20 sec Calculate MSMean (sample mean) MSMean = 95.4% Correction mechanism Step 1 Compute a simple linear regression with MS as independent variable and RS as dependent variable and save the regression coefficients b0 b0 = 13.74 b1 b1 = –0.08 Step 2 Compute the expected raw score (ERS) of each player ERS = b0 + b1 · MSPlayer ERS = 13.74–0.08 · MSPlayer ERS = 13.74 – 0.08 · 85 = 6.74 sec ERS = 13.74 – 0.08 · 95 = 5.91 sec ERS = 13.74 – 0.08 · 100 = 5.50 sec Compute the expected score of the average maturing player (ESA) ESA = b0 + b1 · MSMean ESA = 13.74–0.08 · 95.40 = 5.88 sec Step 3 Compute a correction factor (CF) for each player CF = RS / ERS CF = 6.20 / 6.74 = 0.92 CF = 6.20 / 5.91 = 1.05 CF = 6.20 / 5.50 = 1.13 Step 4 Compute the corrected score (CS) for each player CS = ESA · CF CS = 5.88 · 0.9 = 5.41 sec CS = 5.88 · 1.05 = 6.17 sec CS = 5.88 · 1.13 = 6.63 sec MS = maturity status; RS = raw score; ERS = expected raw score; ESA = expected score of the average maturing player; CF = correction factor; CS = corrected score; %RAH = attained percentage of the real adult height.