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A less-than-perfect test–retest reliability causes test–retest variability. Such variability can be caused by, for example, intra-individual variability and inter-observer variability . A measurement may be said to be repeatable when this variation is smaller than a predetermined acceptance criterion.
The correlation between scores on the two alternate forms is used to estimate the reliability of the test. This method provides a partial solution to many of the problems inherent in the test-retest reliability method. For example, since the two forms of the test are different, carryover effect is less of a problem. Reactivity effects are also ...
Test–retest or retest or may refer to: Test–retest reliability; Monitoring (medicine) by performing frequent tests; Doping retest, of an old sports doping sample using improved technology, to allow retrospective disqualification
Although CBTI programs are successful in test-retest reliability, there have been major concerns and criticisms regarding the programs' ability to assess inter-rater and internal consistency reliability. Research has shown that the validity of CBTI programs has not been confirmed, due to the varying reports of individual programs. CBTI programs ...
In statistics, intra-rater reliability is the degree of agreement among repeated administrations of a diagnostic test performed by a single rater. [ 1 ] [ 2 ] Intra-rater reliability and inter-rater reliability are aspects of test validity .
The CVLT-II underwent nationwide standardisation with a final normative reference sample consisting of 1087 individuals in the US. The education level was also included as a stratification variable. Reliability data for the CVLT-II is mostly good, ranging from 0.80 to 0.96 in a mixed neuro-psychiatric sample. Test-retest reliability was also ...
Cohen's kappa measures the agreement between two raters who each classify N items into C mutually exclusive categories. The definition of is =, where p o is the relative observed agreement among raters, and p e is the hypothetical probability of chance agreement, using the observed data to calculate the probabilities of each observer randomly selecting each category.
Predicted reliability, ′, is estimated as: ′ = ′ + ′ where n is the number of "tests" combined (see below) and ′ is the reliability of the current "test". The formula predicts the reliability of a new test composed by replicating the current test n times (or, equivalently, creating a test with n parallel forms of the current exam).