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This halves reliability estimate is then stepped up to the full test length using the Spearman–Brown prediction formula. There are several ways of splitting a test to estimate reliability. For example, a 40-item vocabulary test could be split into two subtests, the first one made up of items 1 through 20 and the second made up of items 21 ...
The name of this formula stems from the fact that is the twentieth formula discussed in Kuder and Richardson's seminal paper on test reliability. [ 1 ] It is a special case of Cronbach's α , computed for dichotomous scores.
Moreover, his paper "Theory and Applications of Hazard Plotting for Censored Failure Data" was reprinted in the 40th Anniversary issue of Technometrics (2000) [8] as one of the "Two Classics in Reliability Theory." Dr. Wayne also developed software that is widely used in reliability analysis; STATPAC is the first complete package for analysis ...
Until the development of tau-equivalent reliability, split-half reliability using the Spearman-Brown formula was the only way to obtain inter-item reliability. [4] [5] After splitting the whole item into arbitrary halves, the correlation between the split-halves can be converted into reliability by applying the Spearman-Brown formula.
Survival analysis is a branch of statistics for analyzing the expected duration of time until one event occurs, such as death in biological organisms and failure in mechanical systems. This topic is called reliability theory , reliability analysis or reliability engineering in engineering , duration analysis or duration modelling in economics ...
Stress-Strength Analysis is a tool used in reliability engineering. Environmental stresses have a distribution with a mean ( μ x ) {\displaystyle \left(\mu _{x}\right)} and a standard deviation ( s x ) {\displaystyle \left(s_{x}\right)} and component strengths have a distribution with a mean ( μ y ) {\displaystyle \left(\mu _{y}\right)} and a ...
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Congeneric reliability applies to datasets of vectors: each row X in the dataset is a list X i of numerical scores corresponding to one individual. The congeneric model supposes that there is a single underlying property ("factor") of the individual F , such that each numerical score X i is a noisy measurement of F .