Bootstrap methods for measuring classification uncertainty in latent class analysis
نویسندگان
چکیده
This paper addresses the issue of classification uncertainty in latent class analysis. It proposes a new bootstrap-based approach for quantifying the level of classification uncertainty at both the individual and the aggregate level. The procedure is illustrated by means of two applications.
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