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Estimation of reliability in a three‐factor model
Author(s) -
Wang Luqiang,
Keen Kevin John,
Holland Burt
Publication year - 2011
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4182
Subject(s) - intraclass correlation , reliability (semiconductor) , statistics , interval estimation , point estimation , confidence interval , markov chain monte carlo , markov chain , variance (accounting) , monte carlo method , random effects model , estimation , econometrics , computer science , mathematics , medicine , psychometrics , meta analysis , power (physics) , physics , accounting , management , quantum mechanics , economics , business
Reliability measures have been well studied over many years. Such measures have been thoroughly studied for two‐factor models. Motivated by a medical research problem, point and confidence interval estimates of the intraclass correlation coefficient are extended to models containing three crossed random factors—subjects, raters, and occasions. The estimation is conducted using both analysis of variance and Monte Carlo Markov chain methods. Copyright © 2011 John Wiley & Sons, Ltd.