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Bayesian methods for calibration of examiners
Author(s) -
Paul S. R.
Publication year - 1981
Publication title -
british journal of mathematical and statistical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.157
H-Index - 51
eISSN - 2044-8317
pISSN - 0007-1102
DOI - 10.1111/j.2044-8317.1981.tb00630.x
Subject(s) - scripting language , bayesian probability , calibration , sample (material) , statistics , computer science , sampling (signal processing) , econometrics , bayesian inference , mathematics , chemistry , filter (signal processing) , chromatography , computer vision , operating system
In large public examinations many examiners are required to mark the scripts. These examiners are to be calibrated by requiring them all to mark a sample of common scripts. Paul (1979) used an additive model and a linear relationship model to describe the examiners' behaviour in marking the scripts, and gave estimates of the parameters from a sampling theoretic approach. In this paper Bayesian estimates of the parameters of the models are given. Real examination data and simulated data are analysed and the conclusion of Paul (1979) that there is very little to choose between the models is confirmed. It seems that the additive model is adequate.