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Lilliefors test is a normality test based on the Kolmogorov–Smirnov test.It is used to test the null hypothesis that data come from a normally distributed population, when the null hypothesis does not specify which normal distribution; i.e., it does not specify the expected value and variance of the distribution. [1]
Validity is the main extent to which a concept, conclusion, or measurement is well-founded and likely corresponds accurately to the real world. [1] [2] The word "valid" is derived from the Latin validus, meaning strong.
Convergent validity in the behavioral sciences refers to the degree to which two measures that theoretically should be related, are in fact related. [1] Convergent validity, along with discriminant validity, is a subtype of construct validity.
Difference between ANOVA and Kruskal–Wallis test with ranks. The Kruskal–Wallis test by ranks, Kruskal–Wallis test (named after William Kruskal and W. Allen Wallis), or one-way ANOVA on ranks is a non-parametric statistical test for testing whether samples originate from the same distribution.
Cronbach's alpha (Cronbach's ), also known as tau-equivalent reliability or coefficient alpha (coefficient ), is a reliability coefficient and a measure of the internal consistency of tests and measures.
Face validity is the extent to which a test is subjectively viewed as covering the concept it purports to measure. It refers to the transparency or relevance of a test as it appears to test participants.
Cara Theobold 12.6-12.7 2 2023 David Cartwright Patrick Kennedy 12.6-12.7 2 2023 Zoe Ainsworth Taj Atwal: 13.5–13.6 2 2024 DI Mervin Wilson Don Gilet: 14.0- 4 2024- Brianna Clemetson Joy Richardson 14.0, 14.2 2 2024-2025 Officer Sebastian Rose Shaquille Ali-Yebuah: 14.2- 2 2025-
A hypothetical ideal "gold standard" test has a sensitivity of 100% concerning the presence of the disease (it identifies all individuals with a well-defined disease process; it does not have any false-negative results) and a specificity of 100% (it does not falsely identify someone with a condition that does not have the condition; it does not have any false-positive results).