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CAT 2023: Selection and Shortlisting Procedure at IIMs

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CAT 2023: Selection and Shortlisting Procedure at IIMs
CAT 2023: Selection and Shortlisting Procedure at IIMs

 

The Common Admission Test (CAT) 2023 is scheduled to be conducted by the Indian Institute of Management (IIM), Lucknow, on November 26. This exam serves as the gateway for admission to postgraduate and fellow/doctoral programs at various IIMs.

CAT 2023 Results and Shortlisting Procedure

The results for CAT 2023 will be available from the second week of January 2024 on the official CAT website. Each IIM will publish a list of shortlisted candidates based on their individual criteria for shortlisting. Shortlisted candidates will receive interview letters directly from the respective IIMs.

Selection Process at IIMs

While CAT 2023 performance is a critical factor in the admission process, IIMs may also consider other aspects such as the candidates’ previous academic performance, relevant work experience, gender and academic diversity, and similar inputs when selecting candidates.

Each IIM has its unique criteria for shortlisting candidates, and these criteria may be independent of each other. The selection process may involve a Written Ability Test (WAT), Group Discussion (GD), and Personal Interviews (PI).

Candidates shortlisted for interviews by IIMs are required to submit their Mark Sheets, Degree Certificate, and documents for Reservation Category verification by December 31, 2024. Failure to provide the necessary documents will result in automatic disqualification from admission.

Normalization of CAT Scores

The CAT question paper consists of three sections: Verbal Ability and Reading Comprehension (VARC), Data Interpretation and Logical Reasoning (DILR), and Quantitative Ability (QA). The exam evaluates students based on three criteria: Written Ability Test (WAT), Group Discussion (GD), and Personal Interviews (PI).

To ensure a fair and equitable comparison of candidate performances across different test sessions, the CAT scores undergo a normalization process. This process adjusts for location and scale differences in score distributions across different forms. After normalizing scores across different forms, the scores are further normalized across different sections. The scaled scores obtained through this process are then converted into percentiles for shortlisting purposes.

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