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LIX (abbreviation of Swedish läsbarhetsindex, "readibility index") is a readability measure indicating the difficulty of reading a text [1] developed by Swedish scholar Carl-Hugo Björnsson. It is defined as a sum of two numbers: the average sentence length and the percentage of words of more than six letters.
The Proverb Test measures one's ability to form novel, verbal abstractions; These 9 subtests generate 16 main achievement scores and hundreds of optional error, contrast, accuracy, and time-interval scores. As such, use of the computerized scoring assistant (available for purchase from the test publisher) makes scoring the measure less time ...
The automated readability index (ARI) is a readability test for English texts, designed to gauge the understandability of a text. Like the Flesch–Kincaid grade level, Gunning fog index, SMOG index, Fry readability formula, and Coleman–Liau index, it produces an approximate representation of the US grade level needed to comprehend the text.
The Coleman–Liau index is a readability test designed by Meri Coleman and T. L. Liau to gauge the understandability of a text. Like the Flesch–Kincaid Grade Level, Gunning fog index, SMOG index, and Automated Readability Index, its output approximates the U.S. grade level thought necessary to comprehend the text.
In a study by Ihle-Hansen et al. (2017), of 3,413 Norwegian participants aged 63–65, of whom 47% had higher education (over 12 years), under 5% of subjects scored 30/30 with a mean MoCA score of 25.3 and 49% scoring below the suggested cut-off of 26 points, leading the authors to suggest that "the cut-off score may have been set too high to ...
A test score is a piece of information, usually a number, that conveys the performance of an examinee on a test. One formal definition is that it is "a summary of the evidence contained in an examinee's responses to the items of a test that are related to the construct or constructs being measured." [1]
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The main advantage of the score test over the Wald test and likelihood-ratio test is that the score test only requires the computation of the restricted estimator. [4] This makes testing feasible when the unconstrained maximum likelihood estimate is a boundary point in the parameter space.