CUET Result 2022: EquiPercentile Method to be used to Normalize Scores across Sessions

CUET Result 2022 will be prepared based on the ‘EquiPercentile’ method through which the candidates will be assigned a percentile score for each subject they opted for based on their performance. The actual or raw scores of the candidates will be ‘normalized’ so that their performance in a specific subject is equated across all sessions.

The implementation of the EquiPercentile method will form a separate percentile series for each subject, common for all sessions. It aims to level out all the differences across various shifts and sessions such as the difficulty level of the paper, etc. Thus, CUET Result will be declared in terms of percentile normalized scores instead of the raw marks of the candidates and based on these normalized scores, ranks for admissions will be assigned.

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Speaking about the EquiPercentile method, the chairman of the UGC, Mamidala Jagadesh Kumar, said. “We have adopted the EquiPercentile Method through which the same scale has been used for all candidates, independent of the session they appeared for in a given subject, thus making their performance comparable across all sessions.”

CUET UG, whose result is to be declared by September 15, was conducted in 27 different subjects and furthermore, candidates were given freedom of combination, thus resulting in 54,555 unique combinations for around 14.9 lakh candidates. This posed a challenge in front of the UGC to prepare a single rank list for admissions.

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Upon enquiring, UGC chairman said, “How were we to compare performances between two students who wrote the exam for the same subject but in different shifts? For admissions, we need to ensure that the final scores accurately compare to the performances of the candidates.” He continued on, “Additionally, in subjects such as Fine Arts or Sports, say 25% weightage is given to skill component but the remaining 75% percentile weightage cannot be used to prepare rank list because that would be similar to stapling oranges and apples together. The solution to this is the EquiPercentile Method of calculation of scores.”

While most students are familiar with the percentile scores, to understand it with an example, say 1000 students gave the exam for a particular subject and Student A scores 85% raw marks. If 800 students out of 100 secure 85% or less, then the percentile of Student A is 100*800/1000 = 80%ile. Now assuming that the exam for the same subject was held for 10 shifts then the student who appeared in Shift 1 will be marked absent for the rest of 9 shifts (similar for all). Thus all students will be present for their respective shifts and absent for 9 shifts. Based on the performance of the candidate in one shift he/she appeared for, raw scores of the 9 absent shifts will be calculated using interpolation. An average of these 10 shifts is calculated to arrive at the percentile scores.

A ‘Pull Back’ score of the percentile is calculated to the specific distribution. This score is close to the actual observed distribution and is referred to as the ‘Normalized’ score.

Referring to it, Shri M Jagadesh Kumar added, “Percentile values of the candidates are sorted in descending order as per their raw marks. Then, the average of actual raw marks and interpolated raw marks is done to give the normalized percentile of the candidates. This method has proven to be the most accurate while estimating the normalized marks of the candidates across multiple shift sessions for a given subject.”

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