Estimation of reliability in a three-factor model

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.