CAT Scaled Score - The CAT 2025 exam will be conducted on 30th November in three phases rather than the two sessions that were previously held. As a result of the shorter exam period and modified exam format, the exam time was reduced from 180 minutes to 120 minutes, and the CAT score calculation was also modified. CAT Scaled score refers to the adjustment of scores that are derived from the CAT Raw scores through the process of CAT Normalization.
The CAT score has been adjusted for performances in not just two but three slots during the past two years. Since the CAT 2025 exam pattern has changed, the exam administrators have implemented a modified Scaled Score calculation procedure. Three slots of 120 minutes each will be available for CAT 2025. As a result, the Scaled Score calculation technique will be used to create scorecards.
Candidates should note that the CAT-scaled scores are used to calculate the CAT percentiles, which are then presented as the CAT Results.
IIM Calcutta will use the techniques outlined below to obtain the scaled score for each part in the CAT result 2025. Let us look at an example of how the scaled score for CAT 2025 will be determined.
Also Check: CAT Score Vs Percentile Analysis
Scaled CAT Score Calculation
The CAT scaled score calculation technique is illustrated below with an example of the QA section; the same methodology is used for the VARC and DILR scaled score calculations. Any candidate's scaled score that exceeds 100 will be rounded down to 100. As presented below, the entire procedure is divided into three major steps as follows:
Step 1: Calculate the Mean and Standard Deviation of all the candidates
Step 2: Calculate the Mean of the top 0.1% of candidates as per raw scores
Step 3: Apply the formula to Calculate the Scaled Score
Understand Here: CAT Total Marks
Calculation of CAT Scaled Score - Step-By-Step Process
The step-by-step procedure to calculate the CAT-scaled scores has been explained in detail below. Check the procedure for better understanding below.
Step 1: The mean (M) and standard deviation (SD) of all applicants' raw scores are calculated. This is done independently for each of the three slots. These values are represented by a character in the final formula, as seen in the table below.
| Slot 1 | Slot 2 | Slot 3 |
Mean = M1 Standard Deviation = S1 G1 = M1 + S1 | Mean = M2 Standard Deviation = S2 G2 = M2 + S2 | Mean = M3 Standard Deviation = S3 G3 = M3 + S3 |
Step 2: Now, the candidates' raw scores from all shifts combined are used to calculate the Mean and Standard Deviation.
| For Shift 1 + Shift 2 + Shift 3 Combined |
Mean = M Standard Deviation = S G = M + S |
Step 3: The mean raw score of the top 0.1% of the candidates in each of the shifts is computed.
Mean of the top 0.1% of the candidates in Shift 1 | Mean of the top 0.1% of the candidates in Shift 2 | Mean of the top 0.1% of the candidates in Shift 3 |
M 10.1 | M 20.1 | M 30.1 |
Step 4: The mean raw score of the top 0.1% of the candidates in all of the shifts are computed.
Mean of the Top 0.1% of the candidates in Shift 1 + Shift 2 + Shift 3 Combined |
M0.1 |
Step 5: The scaled score of a candidate is calculated using the formula below. Some formula values are changed based on the shift in which the candidate appears. If a candidate's Raw Score is represented by R, the Scaled Score (denoted by S) is determined as follows.
Scaled Score of Shift 1 | Scaled Score of Shift 2 | Scaled Score of Shift 3 |
SS1 = G + [(R - G1) x {(M0.1 - G) / (M10.1 - G1)}] | SS2 = G + [(R - G2) x {(M0.1 - G) / (M20.1 - G2)}] | SS3 = G + [ (R - G3) x {(M0.1 - G) / (M30.1 - G3)}] |
