NEET-PG 2024: NBEMS Adopts Normalisation Process of AIIMS INI-CET For Preparing NEET-PG Results

New Delhi: National Board of Examinations in Medical Sciences (NBEMS) has introduced a significant change in National Eligibility cum Entrance Test, Postgruate (NEET PG) 2024 by conducting exam in two shifts for first time ever. As exam was held on August 11, 2024, NBEMS also released a detailed notice outlining normalisation procedure that will be used to ensure fairness in preparation of results.

A Shift from Norm: Two Shifts for NEET PG 2024

Tritionally, NEET PG has been conducted in a single shift. However, this year, exam was held in two shifts— first from 9 AM to 12:30 PM, and second from 3:30 PM to 7 PM. This change has necessitated option of a normalisation process to account for any variation in difficulty levels across different shifts, ensuring that all candidates are assessed fairly.

Normalisation Process Explained

NBEMS has opted a normalisation procedure similar to one currently used by AIIMS-New Delhi for its multi-shift examinations, including INI-CET. According to official notice, examination results for each shift will be prepared in form of raw scores and percentages.

To achieve a fair comparison across shifts, percentiles (calculated up to seven decimal places) for total score will be computed for each candidate. se percentile scores will n be merged and arranged to generate an overall merit list or ranking.

here for official notice. 

Key Points of Normalisation Process:

• Calculation of Percentiles: Percentiles will be calculated for each candidate based on ir raw scores. This ensures that performance across different shifts can be compared on a common scale.
• Merit List Preparation: overall merit list will be based on percentile scores, with candidates ranked accordingly. In cases where candidates achieve same percentile, tie-breaking method will be based on age, with older candidate being ranked higher.
• Distribution of Examinees: To maintain fairness, examinees have been randomly allocated into different shifts, ensuring that groups are approximately equal in number. This random distribution minimizes any potential bias that could arise from varying difficulty levels between shifts.