Examining Nonnormal Latent Variable Distributions for Non-Ignorable Missing Data
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DOI: 10.1177/0146621621990753
Abstract: Missing not at random (MNAR) modeling for non-ignorable missing responses usually assumes that the latent variable distribution is a bivariate normal distribution. Such an assumption is rarely verified and often employed as a standard in… read more here.
Keywords: ignorable missing; nonnormal latent; distribution; non ignorable ... See more keywords