The role of secondary covariates when estimating latent trait population distributions

DOI10.1007/BF02294708zbMath1297.62242OpenAlexW2062065164MaRDI QIDQ463073

Neal Thomas

Publication date: 15 October 2014

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294708

zbMATH Keywords

item response theorymultiple imputationsample surveyscovariate designmatrix samplingnational assessment (NAEP)

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (2)

Multidimensional item response theory models with collateral information as Poisson regression models ⋮ A hierarchical multi-unidimensional IRT approach for analyzing sparse, multi-group data for integrative data analysis

Uses Software

• BILOG

Cites Work

• Randomization-based inference about latent variables from complex samples
• The asymptotic posterior normality of the latent trait in an IRT model
• Efficient Matrix Sampling Instruments for Correlated Latent Traits: Examples from the National Assessment of Educational Progress
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