SSC CGL Normalisation 2025: Steps to convert raw scores into normalised scores
The SSC CGL exam is conducted in multiple shifts. The SSC CGL Normalisation 2025 include three steps, namely, converting the scores into percentile values, combining all the data in one place, and calculating the normalisation of raw scores based on the marks scale. Here is an explanation.
The SSC CGL Normalisation 2025 is a process of calculating the exam results through a fair and just method. In this process, the raw scores secured by the students are taken from each subject separately from each exam shift, and calculated into a percentile score first. It is then compiled and arranged into a marks scale to get the final normalisation of raw scores of the exam. The normalisation of raw scores allows a fair process of analysing the exam results irrespective of the exam shift’s difficulty level. The SSC CGL 2025 exam was conducted in three shifts daily from September 12 to September 26, 2025.
SSC CGL Normalisation 2025 allows the conducting authority to judge the performance of the students as it is. The multiple exam shifts often vary in their levels of difficulty and, therefore, can leave room for an unfair advantage for students when it comes to result analysis. The normalisation process deals with it by reflecting the relative performance of students in the exam as compared to others instead of their absolute marks.
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How to Convert SSC CGL Raw Scores 2025 to Normalised Scores?
The process of converting the SSC CGL raw scores 2025 to Normalised Scores is mentioned here for reference:
Step 1: Converting Raw Scores into Percentile Scores
The raw scores secured by the students will be converted into percentile scores. It will be calculated separately for each exam shift for an accurate analysis of exam results. This step has been mentioned below in detail for proper understanding:
- You have to take the total number of candidates in the exam as ‘X’ for calculation.
- Now you have to sort the marks of the students in one shift in descending order.
- You can mark the raw scores by each student as ‘T’, and count the total number of students in that shift. Write down if the number is less than or equal to ‘T’.
- Mark this data as ‘m' for calculation and then use this formula to calculate-
P (Percentile Score) = m/T
- The answer will be marked in a decimal format, and students will be able to take the requisite number to the 8th place of decimal.
An example of this is illustrated here:
The following table contains the candidates A, B, C (in Shift 1), and D, E, F (in Shift 2) with their raw marks in each shift. The percentile scores here are denoted as PA, PB, PC, PD, PE, and PF.
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Step 2: Compiling All Data Together
The next step will be to convert the percentile scores into marks obtained by collating all the percentile data across all sessions into one place. Then you will have to arrange the data in descending order and fill the gaps in raw scores by interpolation. A summary of how to go about this step is provided below for easy reference:
- The separate percentile scores for each subject or test will have to be compiled in a single column.
- The raw scores for the shifts should be kept as it and not compiled right away for this calculation.
- Now, the combined percentile scores will have to be arranged in descending order. An example of the same, continuing the previously illustrated example, has been provided below:
- For instance, if the raw scores columns are empty in certain cases, they will be filled up by using linear interpolation. The formula for this is-
The outcome of this calculator with all the values will look something like this:
Step 3: Calculating the Final Normalised Scores
After getting the marks scale, each percentile value will have a corresponding raw score value for each session. You have to combine these values of all the sessions to get the final normalised scores. The following formula will be used to calculate the final normalised scores from the compiled percentile value of students:
An example of the final normalisation of raw scores data is:
*Note: The normalisation of scores is calculated individually for each subject to ensure a just and fair system of result analysis.
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In a gist, the SSC CGL 2025 exam will use the normalisation of raw scores method to analyse the exam results. Since the exam is conducted in multiple shifts, the raw scores of students are extracted individually in each subject, from each session. This method of calculating the scores is also known as the equipercentile method. A common marks scale is calculated through interpolation to get the final normalised scores of students for a just and fair exam analysis.
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