- Edited
Normalization is the process of converting values measured on several scales to a supposedly common scale.
Exams for a specific post/course may be stretched out over numerous shifts, with each shift having a distinct question paper. Because the questions may differ in different sets and the difficulty level of a single set may differ from that of other sets, normalisation should be done by taking into account the difficulty level of each set.
Normalisation Formula:
Normalisation will be done by using “Score Normalisation Based on Deviation Method” formula which is as under;
Where:
| Symbol | Meaning |
|---|---|
| Xn | Normalized Score for each candidate |
| S2 | Is the SD of the shift with the Highest Average Score taken as base for normalization |
| S1 | Standard Deviation for the corresponding shift (to be scaled to S2) |
| X | Raw score of a candidate |
| Xav | Simple average of the Shift |
| Yav | Average corresponding to shift with highest average (taken as base for normalization) |