Normalization is an important process that is used in the CAT exam in order to ensure that every candidate is fairly assessed. Here is the step-by-step process of normalization of CAT and the formula used to calculate the CAT scaled scores.

The Common Admission Test (CAT) is one of the most widely attempted MBA entrance exams in India. It is a national-level management entrance exam that gets more than 2 lakh registrations every year. Therefore, Indian Institutes of Management (IIMs) that conduct CAT have to ensure that the exam is conducted in a seamless process and no candidate is given undue advantage or at a disadvantage in the exam. The CAT Normalization Process is one such step that IIMs employ.
In this article, we take a look at the normalization process of CAT. Aspirants who are interested to appear in CAT will be able to get an idea of how CAT scores are calculated and how the normalization process is applied to the raw scores of candidates in CAT. Understanding the normalization process is important for each candidate as only after the process has been applied, CAT scores can be considered for admission by MBA colleges in India.
CAT 2020 Important Dates
Check out the details of the important dates for CAT 2020 as released by the conducting body IIM Indore. The schedule for CAT 2020 can be found in the table given below.
Event | Date |
Application Starts | August 5, 2020 |
Application Closes | September 23, 2020 5:00 PM |
CAT 2020 Exam Date | November 29, 2020 |
Result Release | Janury 2, 2021 |
Importance of Normalization in CAT 2020
Since a large number of candidates appear for CAT, the exam was conducted in two shifts or sessions or slots. Following the safety guidelines mentioned in the revised SOP for exams amid COVID-19, CAT 2020 will be conducted in three shifts. CAT 2020 duration has also been reduced from 3 to 2 hours but that will have no effect on the Normalization Process.
Candidates appearing in different shifts get different question papers for CAT. Even though the conducting body i.e. IIMs ensure that the question papers are identical in their difficulty level, there may be some discrepancies in the difficulty level of question papers or test forms.
Hence, a probability arises that candidates of a slot may get an easier question paper than candidates of the other slot. To nullify this advantage, IIMs employ CAT Normalization process. CAT 2020 normalization process is the adjustment done in the CAT score of participants to ensure that there is no discrimination for or against any candidate in the calculation of final CAT scores. The normalised CAT 2020 scores are a very important factor in the overall CAT selection process as well.
The CAT Normalization Process is conducted in two steps.
- In the first step of the CAT normalization process, IIMs adjust the exam scores for 'scale differences of score distribution across different forms'.
In the second step, after the normalization process has been applied across different forms, the scores across different sections are normalized.
In the information given above, 'test forms' refer to the question papers of CAT.
Also Read:MBA Admission Process
CAT Normalization Process 2020
After a candidate has attempted the question paper of CAT, his / her 'Raw Scores' are calculated which are based purely on the number of correct answers and the number of wrong answers in the CAT exam. To calculate the raw score, a candidate must know the:
- CAT Marking Scheme (+3, -1)
No. of Correct Answers
No. of Incorrect Answers
Raw Scores in CAT can be calculated by using the following formula.
Raw Score = 3 x (No. of Correct Answers) - 1 x (No. of Incorrect Answers) |
Once the raw scores have been calculated, the normalization process can be applied to get the Scaled Score of a candidate in CAT. The CAT scorecard which is released after the declaration of CAT results contains the scaled scores of a candidate. The CAT percentile, whether it be overall or section-wise, is also calculated using the CAT scaled scores.
Also Read:Documents Required for MBA Admission
Revised CAT Scaled Score Calculation
Since CAT 2020 is being conducted in 3 shifts, the following information has been updated to account for the same.
The scaled score of CAT is calculated across each section of the exam. Once the scaled score of each section has been calculated, the overall score can be calculated by simply adding up the scaled scores of each section.
In order to easily understand the process of normalization of CAT scores, it is better to break down the process into multiple steps and understand each variable that is used in the formula. Let's first understand the steps to calculate CAT scaled score and then we will take a look at the formula.
These steps are applied section-wise i.e. raw scores of only one section is considered at a time when calculating scaled scores.
Step 1: Mean (Average) and Standard Deviation (SD) of the raw scores of candidates who appeared in the 1st shift are calculated and added together.
M1= Mean of 1st Shift + SD of 1st Shift |
Step 2: Mean and SD of the raw scores of candidates who appeared in the 2nd shift are calculated and added together.
M2 = Mean of 2st Shift + SD of 2nd Shift |
Step 3: Mean and SD of the raw scores of candidates who appeared in the 3rd shift are calculated and added together.
M3 = Mean of 3rd Shift + SD of 3rd Shift |
Step 4: Mean and SD of the raw scores of all of the candidates who appeared across all three of the sections are calculated.
M = Mean of all three shifts + SD of all three shifts |
Step 5: Mean of the raw scores of the top 0.1% of the candidates who appeared in the 1st shift is calculated.
Let this be M1.01 |
Step 6: Mean of the raw scores of the top 0.1% of the candidates who appeared in the 2nd shift is calculated.
Let this be M2.01 |
Step 7: Mean of the raw scores of the top 0.1% of candidates from the 3rd shift is calculated.
Let this be M3.01 |
Step 8: Mean of the raw scores of the top 0.1% of the candidates across both sections is calculated.
Let this be M0.1 |
Step 9: The following formula is used to calculate the scaled score of a candidate. Please note that the given formula is for a candidate who appeared for the 1st shift.
Scaled Score = M + {(R - M1) x (M0.1 - M) / (M1.01 - M1)} |
The relevant values in this formula must be changed accordingly to calculate the scaled score of a candidate in the other two shifts.
Here, R is the Raw Score of the candidate whose scaled score is being calculated.
Overall Scaled Score = Scaled Score in DILR + Scaled Score in QA + Scaled Score in VARC |
Also Read:CAT vs Other MBA Entrance Exams
CAT Percentile Calculation
A CAT percentile shows what percentage of candidates have received a lesser score than you in the CAT exam. In order to calculate the CAT percentile, it is important to know two things:
Your rank in CAT (R)
Total no. of candidates who appeared for CAT (N)
Now, the CAT percentile can be calculated by using the formula given below.
CAT Percentile = {(N-R) / N } * 100 |
It is important to note that:
- The ranking of candidates in CAT is done as per the scaled scores.
- No candidate can receive 100 percentile as R can never be 0.
- The CAT percentile is calculated and rounded off to up to 3 decimal places. Therefore, the highest percentile a candidate can receive in CAT is 99.999 percentile.
In order to select the right college, you should take a look at the following lists of colleges accepting CAT and shortlist the best-suited colleges. You can use your College Predictor tool to choose colleges satisfying your CAT cutoff. Besides this, the CAT Percentile Predictor tool of Collegedekho will help you predict your CAT percentile.
CAT Result 2020
IIM Indore, the conducting body for CAT 2020 has released the CAT Result 2020 on January 2, 2021. Candidates can download their CAT 2020 scorecard after logging in on the official website. Stay tuned for CAT 2020 Latest Updates and News here.
Also, check out these other related articles on score vs percentile analysis of some of the top MBA exams in India.
Related Article | |
CAT Score vs Percentile | MAT Score vs Percentile |
CMAT Score vs Percentile | NMAT Score vs Percentile |
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