The traditional kappa statistic in assessing interrater agreement is not adequate when multiraters and multiattributes are involved. In this article, latent trait models are proposed to assess the multirater multiattribute (MRMA) agreement. Data from the Third International Mathematics and Science Studies (TIMSS) are used to illustrate the application of the latent trait models. Results showed that among four possible latent trait models, the correlated uniqueness model had the best fit to assess the MRMA agreement. Furthermore, in coding a set of different attributes, the coding accuracy within the same rater may differ across attributes. Likewise, when different raters rate the same attribute, the accuracy in rating varies among the raters. Thus, the latent models provide us with a more refined and accurate assessment of interrater agreement. The application of the latent trait models is important in school psychology research and intervention because accurate assessment of children's functioning is fundamental in designing effective intervention strategies. (Contains 4 tables and 4 figures.)