A first transformation of results (response time and number of errors for each participant) via (LOG10 + 1) ➔ A for response time and B for number of errors. | |
Second transformation using formulas mentioned in the French version: a. Response time: ŷ = A + (0.002x age) - (0.008x education) b. Number of errors: ŷ = B + (0.003xage) - (0.02x education) | |
Z score calculation using the second transformation | |
Classification depending on Zscores: a. ≤ −1.65 pathologic; b. [−1.64 → -1] limit; c. [− 0.99 → + 0.99] normal; d. [+ 1 → + 1.64] superior; e. ≥ + 1.65 very superior. |