The precision of item parameter estimates can be
increased by taking advantage of dependencies between
the latent proficiency variable and auxiliary examinee
variables such as age, courses taken, and years
of schooling. Gains roughly equivalent to two to six
additional item responses can be expected in typical
educational and psychological applications. Empirical
Bayesian computational procedures are presented and
illustrated with data from the National Assessment of
Educational Progress survey.
Mislevy, Robert J. (1987). Exploiting auxiliary information about examinees in the estimation of item parameters. Applied Psychological Measurement, 11, 81-91. doi:10.1177/014662168701100106
Mislevy, Robert J..
Exploiting auxiliary information about examinees in the estimation of item parameters.
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