Estimates interrater-reliability intraclass correlation coefficients (ICCs) within the generalizability-theory framework using modern variance-component estimation (linear mixed models) rather than th
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intraclass computes interrater-reliability intraclass correlation
coefficients (ICCs). An ICC is the share of the variation in scores
that reflects real differences between the things rated, rather than
rater noise. It works within the generalizability-theory framework,
using modern variance-component estimation (linear mixed models)
rather than the classical ANOVA / mean-squares approach.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
intraclass computes interrater-reliability intraclass correlation
coefficients (ICCs). An ICC is the share of the variation in scores
that reflects real differences between the things rated, rather than
rater noise. It works within the generalizability-theory framework,
using modern variance-component estimation (linear mixed models)
rather than the classical ANOVA / mean-squares approach.查看完整 README ↗