Wednesday, September 12, 2012

Know More: Item response theory, which will be used in DNB CET
As we all know, DNB CET had a multiple day exam pattern. For calculating the ranks in such exams the Item response theory is used. This same theory will be applied for making rank list of DNB CET, as published by natboard on its website... Read more about the notice here.

If you are curios to know more about this system of marking read the details here...

Item response theory

From Wikipedia, the free encyclopedia

In psychometrics, item response theory (IRT) also known as latent trait theory, strong true score theory, or modern mental test theory, is a paradigm for the design, analysis, and scoring of tests, questionnaires, and similar instruments measuring abilities, attitudes, or other variables. It is based on the application of related mathematical models to testing data. Because it is generally regarded as superior to classical test theory, it is the preferred method for the development of high-stakes tests such as the Graduate Record Examination (GRE) and Graduate Management Admission Test (GMAT).

The name item response theory is due to the focus of the theory on the item, as opposed to the test-level focus of classical test theory, by modeling the response of an examinee of given ability to each item in the test. The term item is used because many test questions are not actually questions; they might be multiple choice questions that have incorrect and correct responses, but are also commonly statements on questionnaires that allow respondents to indicate level of agreement (a rating or Likert scale), or patient symptoms scored as present/absent. IRT is based on the idea that the probability of a correct/keyed response to an item is a mathematical function of person and item parameters. There is but a single person parameter; it is called latent trait or ability; it may, for example, be a unidimensional representation of a person's intelligence or the strength of an attitude. Item parameters include difficulty (location), discrimination (slope or correlation), and pseudoguessing (lower asymptote).

Read complete article at wikipedia http://en.wikipedia.org/wiki/Item_response_theory

To read few simple examples of this theory download this guide.... A Simple Guide to the Item Response Theory(PDF)

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