CUET Normalization Process 2024 : How to Calculate Percentile Scores and Marks

The National Testing Agency (NTA) administers the Common University Entrance Test (CUET) for undergraduate programs across Central Universities during the 2024-2025 academic year. Participating Central Universities utilize normalized CUET scores to rank applicants for admissions. The normalization process ensures fair comparison of student marks across different exam sessions for the same subject.

Certainly! The CUET Normalization process involves equating the marks obtained by candidates across different sessions of the same subject. These normalized marks are then treated similarly to raw marks from a conventional single-session examination. If you’d like to delve deeper into the calculation based on percentile scores, I recommend reading the full article.

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CUET Normalisation Process 2024 based on Percentile Score?

The National Testing Agency (NTA) uses the CUET 2024 method, also known as the equipercentile method, to normalize scores across multiple days and sessions for the same subject. Here’s how it works:

1. Percentile Calculation: For each candidate, the NTA calculates a percentile based on their raw marks compared to others in the same session.
2. Equating and Normalization: These percentiles are then equated and converted into normalized marks.
3. Handling Smaller Sessions: In cases where there are fewer candidates, their scores are combined with larger sessions to ensure fairness.

This method has been globally accepted for decades and ensures fairness in comparing performance across different shifts. Students need not worry about luck or unfairness—it’s a statistical procedure.

The CUET percentile score reflects how a candidate’s performance compares to others in the exam. It represents the percentage of candidates who scored equal to or below a specific percentile. The highest scorer in each session receives a desirable percentile of 200. Additionally, scores between the highest and lowest are converted to appropriate percentiles. These percentile scores, rather than raw marks, are used for preparing merit lists.

The CUET percentile scores will be calculated up to 7 decimal places to avoid the bunching effect and reduce ties.

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CUET Marks VS Percentile

The CUET 2024 results are calculated in the form of percentile. The raw scores secured by the candidates are required to calculate the marks and percentile scored in the CUET entrance examination 2024."

What is the Normalization Score in CUET?

Normalization is a technique that standardizes raw scores, making them comparable across various scales. In the context of CUET, it ensures fairness by measuring candidates’ performance on a consistent scale, regardless of the difficulty level of their specific exam session. Each student receives a percentage based on their performance, whether the questions were easy or challenging. Normalization simplifies the CUET process and emphasizes understanding concepts over fixating on difficulty levels.

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How Normalised Marks are Calculated?

This guide explains the step-by-step process for calculating CUET UG normalised marks, which determine your percentile rank for university admissions.

Step 1: Converting Raw Scores to Percentiles

• Percentile Scores:
  • Represent your relative position compared to other test-takers in the same subject and session.
  • A higher percentile indicates a better performance.
• Calculation:
  • Raw scores within each session are ranked from highest to lowest.
  • A candidate's percentile is calculated based on the number of students who scored lower or equal to them.
  • Example: If you scored 87% and 80 students scored lower, your percentile would be 80%.

Step 2: Arranging CUET Percentiles

• Individual session results are compiled, including:
  • Raw scores
  • Corresponding percentile scores

Important Note:

• The percentile score represents your relative position, not the average of individual subject percentiles.
• It's distinct from the percentage of marks obtained.

Step 3: Calculating Normalised Scores with Interpolation

• A unique normalised score (denoted by Z) is assigned based on each candidate's percentile value within their session.
• Percentile scores from all sessions are merged to create a national ranking (NTA scores).
• These NTA scores are used for result compilation and university admissions decisions.

Example - Suppose a test was held in 4 sessions of examinees as per details given below:

The distribution of candidates were as follows:

Session 1: Day 1, Shift 1

Session 2: Day 1, Shift 2

Session 3: Day 2, Shift 1

Session 4: Day 2, Shift 2

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In this method of scoring the HIGHEST RAW SCORE in each paper (irrespective of the raw scores) will be the 100 Percentile indicating that 100% of candidates have scored equal to or lesser than the highest scorer/ topper for that session.

Highest Raw Score and Percentile Score: All the highest raw scores will have a normalised Percentile Score of 100 for their respective session.

Lowest Raw Score and Percentile Score: The percentile Score of all the lowest raw scores will depend on the total number of candidates who have taken the examination for their respective sessions.

The following is a further explanation of the interpretation of the raw scores and Percentile Score in Session-3 (Day-2 and Shift-1) with 41326 candidates who have taken the examination.

Why is normalization needed in CUET?

Here's why normalization is needed in CUET:

Fair Comparison Across Different Sessions

CUET is conducted in multiple sessions, and it's challenging to ensure identical difficulty levels in each. Normalization addresses this by putting everyone on an equal footing.

Imagine two scenarios:

• Scenario 1 (No Normalization):

  • Students in Session A get a slightly easier exam compared to Session B.
  • Someone who scores highly in Session B might be ranked lower than someone with a lower score in Session A, simply due to exam difficulty.
  • This is unfair.

• Scenario 2 (Normalization):

  • Normalization adjusts scores based on session difficulty.
  • This ensures a student's percentile rank reflects their relative performance compared to others who took the same subject, regardless of the session.

Level Playing Field for All Students

Normalization guarantees a fair and unbiased assessment for everyone. It removes the element of chance (getting an easier or harder exam) from impacting your final rank and university admission prospects.

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