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TOEFL ITP ("ITP" stands for "Institutional Testing Program") tests are paper-based and use academic content to evaluate the English-language proficiency of non-native English speakers. The tests use new and previously administered TOEFL test questions and are used for placement, progress, evaluation, exit testing, and other situations.
The following is a non-exhaustive list of standardized tests that assess a person's language proficiency of a foreign/secondary language. Various types of such exams exist per many languages—some are organized at an international level even through national authoritative organizations, while others simply for specific limited business or study orientation.
It also meets requirements for immigration to Australia, where Test of English as a Foreign Language (TOEFL) and Pearson Test of English Academic are also accepted, [9] and New Zealand. In Canada, IELTS, TEF, or CELPIP are accepted by the immigration authority. [10] No minimum score is required to pass the test.
The EF Standard English Test is a standardized test of the English language designed for non-native English speakers. [1] It is the product of EF Education First , a global language training company, and a team of language assessment experts including Lyle Bachman, Mari Pearlman, and Ric Luecht.
National Assessment of Educational Progress (NAEP); State achievement tests are standardized tests.These may be required in American public schools for the schools to receive federal funding, according to the US Public Law 107-110 originally passed as Elementary and Secondary Education Act of 1965, and currently authorized as Every Student Succeeds Act in 2015.
Test administrators and test takers can view and print out their test results by entering their Test Identification Number on the Versant website. The Versant score report is composed of an Overall score (a weighted combination of the subscores) and four diagnostic subscores: Sentence Mastery (i.e., grammar), Vocabulary, Fluency, and Pronunciation.
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.
Given a sample from a normal distribution, whose parameters are unknown, it is possible to give prediction intervals in the frequentist sense, i.e., an interval [a, b] based on statistics of the sample such that on repeated experiments, X n+1 falls in the interval the desired percentage of the time; one may call these "predictive confidence intervals".
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