CUET 2025 Normalization Process : The National Testing Agency (NTA) organises the Common University Entrance Test (CUET) for admissions to undergraduate (UG) programmes in all Central Universities. The CUET 2025 Normalization process is an essential aspect of CUET, as it ensures fairness when exams for the same subject are conducted in multiple sessions with different question papers. It adjusts students’ scores to account for differences in difficulty levels across sessions, providing an accurate reflection of their abilities. This method is considered fair, unbiased, and widely used in competitive examinations.
For those preparing for CUET 2025, understanding the CUET 2025 normalization process is important, as the normalized scores are used by participating universities to create admission ranking lists.
The CUET normalization process is a statistical technique used to adjust the raw scores of students who appear for the exam in different shifts. Since the exam is conducted in multiple shifts over several days, the difficulty level of the questions may vary slightly from one shift to another. This can result in candidates scoring differently, even if they are assessed on the same cuet subject. To address this issue, the normalization process ensures that candidates are evaluated on a common scale, regardless of the shift or day they appeared for the exam.
The primary objective of the normalization process is to maintain fairness and consistency in scoring across all sessions. The process helps standardize the scores so that candidates who appeared in more difficult shifts are not unfairly penalized, and those who appeared in easier shifts are not given an undue advantage.
CUET 2025 normalized marks are calculated through a fair and thorough process, ensuring fairness for all candidates across different test sessions:
CUET UG normalized marks for each candidate's corresponding percentile will be determined using the following process:
To calculate the CUET normalized marks across different test sessions for a specific subject, the percentile for each group of students in a particular shift is determined based on the raw marks they score. For example , if 100 students appeared for the test in one shift, their marks are ranked in descending order. If one student scored 87%, and 80 out of 100 students scored less than or equal to 87%, the student's percentile score would be 80/100 = 0.8. Percentile scores are usually rounded off to the required number of decimal places. In the case of multiple shifts or days, candidates will be divided accordingly to ensure no bias in the distribution of examinees. With a large number of candidates nationwide, this method significantly reduces the risk of bias.
CUET UG Results for each session are arranged in the following way:
Each subject will have a specific score assigned to each percentile value for every session. The normalized score (Z) for each percentile (P) is calculated by merging the percentile scores for the total raw score across all sessions. These are then used to compile the results and assist in further processing for seat allocation. Example : If a test was conducted over 4 sessions, with varying numbers of candidates in each session, the highest raw score in each session is assigned a percentile of 100. The lowest raw score will have a percentile score based on the number of candidates who appeared for that session.
CUET 2025 percentile is a statistical measure that reflects how a candidate's performance compares to others. It is calculated by converting raw scores into percentile scores for each group of students within a specific shift. This method ensures that all candidates are assessed fairly, despite variations in the difficulty of different test sessions. For instance, a candidate’s percentile score shows the percentage of candidates who scored lower than or equal to their raw score. This approach ensures consistency and fairness across shifts, providing an unbiased evaluation of candidates’ performance. The percentile score is vital in normalization, enabling standardised comparisons and assisting in seat allocation.
The following steps outline how the CUET 2025 percentile scores are calculated:
For example, if a candidate’s raw score is greater than or equal to 80% of other candidates in the same session, their percentile score will be 80.
The National Testing Agency (NTA) will release the CUET results in the form of percentile scores. This means that candidates' raw scores from the CUET exam will be converted into percentile scores. The table below for the expected CUET marks versus the corresponding percentile:
CUET 2025 Score vs Percentile | |
CUET Score Range | Expected CUET Percentile |
200 – 188 | 100 |
187 – 170 | 99 |
169 – 150 | 98 – 97 |
149 – 130 | 96 – 95 |
129 – 110 | 94 – 93 |
109 – 90 | 92 – 90 |
89 – 80 | 89 – 84 |
79 – 70 | 83 – 80 |
69 – 60 | 79 – 75 |
59 – 50 | 74 – 70 |
49 – 40 | 69 – 55 |
39 – 20 | 54 – 30 |
The CUET 2025 exam is expected to be held in multiple shifts across several days. Different shifts may have slight variations in the difficulty level of the questions, which can lead to discrepancies in the raw scores of candidates. Without normalization, it would be unfair to compare candidates who appeared in different shifts, as those who took the exam during an easier shift might get an advantage over those who appeared in a more challenging shift.
Normalization ensures that every candidate is assessed in a fair and equitable manner, regardless of the shift they appeared in. This is particularly important for universities during the admission process, as it allows them to evaluate candidates from different shifts based on a consistent and reliable score.
The normalization process helps universities avoid errors in the calculation of cutoffs and rank lists. By using a common scoring scale, the process ensures that the admission process is transparent, fair, and based on standardized data.
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