JSTOR Daily

On the Estimation of Hierarchical Latent Regression Models for Large-Scale Assessments

To find population proficiency distributions, a two-level hierarchical linear model may be applied to large-scale survey assessments such as the National Assessment of Educational Progress (NAEP). The ...
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Using Hierarchical Logistic Regression to Study DIF and DIF Variance in Multilevel Data

When contextual features of test-taking environments differentially affect item responding for different test-takers and these features vary across test administrations, they may cause differential ...
JSTOR Daily

Global estimation of neonatal mortality using a Bayesian hierarchical splines regression model

BACKGROUND In recent years, much of the focus in monitoring child mortality has been on assessing changes in the under-5 mortality rate (U5MR). However, as the U5MR decreases, the share of neonatal ...