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An item bank will not only include the text of each item, but also extensive information regarding test development and psychometric characteristics of the items. Examples of such information include: [1] Item author; Date written; Item status (e.g., new, pilot, active, retired) Angoff ratings; Correct answer; Item format; Classical test theory ...
Test coverage in the test plan states what requirements will be verified during what stages of the product life. Test coverage is derived from design specifications and other requirements, such as safety standards or regulatory codes, where each requirement or specification of the design ideally will have one or more corresponding means of verification.
In order to model the characteristics of the items (e.g., to pick the optimal item), all the items of the test must be pre-administered to a sizable sample and then analyzed. To achieve this, new items must be mixed into the operational items of an exam (the responses are recorded but do not contribute to the test-takers' scores), called "pilot ...
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. Thus IRT models the response of each examinee of a given ability to each item in the test. The term item is generic, covering all kinds of informative items.
In psychological testing, the responses of the test taker to test items provide objective measurement data for a variety of human characteristics. [8] Some characteristics measured by psychological and educational tests include academic abilities, school performance, intelligence, motivation, etc. and these tests are frequently used to make decisions that have significant consequences on ...
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A test method is a method for a test in science or engineering, such as a physical test, chemical test, or statistical test. It is a definitive procedure that produces a test result. [ 1 ] In order to ensure accurate and relevant test results, a test method should be "explicit, unambiguous, and experimentally feasible.", [ 2 ] as well as ...
Item tree analysis (ITA) is a data analytical method which allows constructing a hierarchical structure on the items of a questionnaire or test from observed response patterns. Assume that we have a questionnaire with m items and that subjects can answer positive (1) or negative (0) to each of these items, i.e. the items are dichotomous .