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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.
The IR nondestructive testing system are usually modular. It means that various excitation sources can be combined with various infrared cameras and various evaluation methods depending on application, tested material, measuring time demands, size of a tested area, etc.
The Miller Analogies Test (MAT) was a standardized test used both for graduate school admissions in the United States and entrance to high I.Q. societies. Created and published by Harcourt Assessment (now a division of Pearson Education ), the MAT consisted of 120 questions in 60 minutes (an earlier iteration was 100 questions in 50 minutes).
The Yo-Yo intermittent test is aimed at estimating performance in stop-and-go sports like football (soccer), cricket, basketball and the like. It was conceived around the early 1990s by Jens Bangsbo , [ 1 ] a Danish soccer physiologist, then described in a 2008 paper, "The Yo-Yo Intermittent Recovery Test". [ 2 ]
The likelihood-ratio test, also known as Wilks test, [2] is the oldest of the three classical approaches to hypothesis testing, together with the Lagrange multiplier test and the Wald test. [3] In fact, the latter two can be conceptualized as approximations to the likelihood-ratio test, and are asymptotically equivalent.
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Information retrieval (IR) in computing and information science is the task of identifying and retrieving information system resources that are relevant to an information need. The information need can be specified in the form of a search query. In the case of document retrieval, queries can be based on full-text or other content-based indexing.
The (standard) Boolean model of information retrieval (BIR) [1] is a classical information retrieval (IR) model and, at the same time, the first and most-adopted one. [2] The BIR is based on Boolean logic and classical set theory in that both the documents to be searched and the user's query are conceived as sets of terms (a bag-of-words model).