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

Deping Li, Andreas Oranje and Yanlin Jiang

Journal of Educational and Behavioral Statistics, 2009, vol. 34, issue 4, 433-463

Abstract: 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 model and parameter estimation are developed and a simulation was carried out to evaluate parameter recovery. Subsequently, both a hierarchical and a simple model were applied to NAEP reading data. The impact of using a hierarchical model was found to be relatively modest in this case, mostly due to modest clustering. Several other applications and future studies are discussed.

Keywords: hierarchical linear models; multilevel models; maximum likelihood estimates; EM algorithm; item response theory; NAEP (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:34:y:2009:i:4:p:433-463

DOI: 10.3102/1076998609332757

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