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As a paper exam, NCLEX was only provided twice a year. The NCLEX-RN was given over two days in February and November; while the NCLEX-PN was given over a single day in April and October. [5] [6] [7] In 1994, the NCSBN revolutionized NCLEX by transitioning from paper-and-pencil exams to a computerized adaptive testing (CAT) format.
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Kaplan Professional, which delivers financial services education and professional development courses; Kaplan Business School, which delivers higher education programs in business, accounting, hospitality, and tourism and management; English language training schools across five locations in Australia and one in New Zealand
A decision tree is a decision support recursive partitioning structure that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements.
The Boston Naming Test (BNT), introduced in 1983 by Edith Kaplan, Harold Goodglass and Sandra Weintraub, is a widely used neuropsychological assessment tool to measure confrontational word retrieval in individuals with aphasia or other language disturbance caused by stroke, Alzheimer's disease, or other dementing disorder. [1]
Subsequently, Kaplan and David P. Norton included anonymous details of this balanced scorecard design in a 1992 article. [5] Although Kaplan and Norton's article was not the only paper on the topic published in early 1992, [10] it was a popular success, and was quickly followed by a second in 1993. [11]
Gordon’s functional health patterns is a method devised by Marjory Gordon to be used by nurses in the nursing process to provide a more comprehensive nursing assessment of the patient.
A decision tree or a classification tree is a tree in which each internal (non-leaf) node is labeled with an input feature. The arcs coming from a node labeled with an input feature are labeled with each of the possible values of the target feature or the arc leads to a subordinate decision node on a different input feature.