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Karandikar, Rajeeva L.
- Normalization of Marks in Multi-Session Examinations
Abstract Views :390 |
PDF Views:101
Authors
Affiliations
1 Indian Statistical Institute, New Delhi 110 016, IN
2 Chennai Mathematical Institute, Chennai 603 103, IN
1 Indian Statistical Institute, New Delhi 110 016, IN
2 Chennai Mathematical Institute, Chennai 603 103, IN
Source
Current Science, Vol 118, No 1 (2020), Pagination: 34-39Abstract
When a test is conducted in several sessions using distinct question papers, normalization of scores is required to have a fair assessment of the candidates. Several selection tests nowadays are conducted in multiple sessions (using multiple choice questions). In this article we discuss various normalization schemes used in India when an examination involving multiple choice questions is conducted across various sessions. We illustrate through simulation, that the percentile-based normalization scheme outperforms all the other schemes.Keywords
Multi-Session Examinations, Multiple Choice Questions, Normalization Schemes, Test Scores.Full Text
References
- Baker, F., The Basics of Item Response Theory, ERIC Clearinghouse on Assessment and Evaluation, University of Maryland, MD, USA, 2001.
- Fox, J.-P., Bayesian Item Response Modeling: Theory and Applications, Springer, 2010.
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- Role of statistics in the era of data science
Abstract Views :219 |
PDF Views:76
Authors
Affiliations
1 Chennai Mathematical Institute, Chennai 603 103, India, IN
1 Chennai Mathematical Institute, Chennai 603 103, India, IN
Source
Current Science, Vol 121, No 8 (2021), Pagination: 1016-1021Abstract
Statistics evolved as a science in an era when the amount of data available was small and efforts were on to extract maximum information from them. Are the techniques developed during those times relevant anymore in the era of data science? We will illustrate using examples that several statistical concepts developed over the last 150 years are as relevant in this era as they were thenKeywords
Analytics, big data, bias, data-science, regression, statistics.Full Text
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