Accession Number : ADA170306


Title :   Exploiting Auxiliary Information about Examinees in the Estimation of Item Parameters.


Descriptive Note : Research rept.,


Corporate Author : EDUCATIONAL TESTING SERVICE PRINCETON NJ


Personal Author(s) : Mislevy,Robert J


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a170306.pdf


Report Date : May 1986


Pagination or Media Count : 51


Abstract : A pervasive problem in item response theory (IRT) is the difficulty of simultaneously estimating large numbers of parameters from limited data. Even large samples of examinees may not eliminate the problem when each examinee responds to only a few items, as in educational assessment and adaptive testing. 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 Bayes computational procedures are presented, and illustrated with data from the Profile of American Youth survey.


Descriptors :   *MAXIMUM LIKELIHOOD ESTIMATION , *PROFICIENCY , *TEST CONSTRUCTION(PSYCHOLOGY) , DATA BASES , ALGORITHMS , MILITARY FORCES(UNITED STATES) , AUXILIARY , EDUCATION , DEMOGRAPHY , VARIABLES , RESPONSE , BAYES THEOREM , APTITUDE TESTS , YOUTH


Subject Categories : Psychology
      Statistics and Probability


Distribution Statement : APPROVED FOR PUBLIC RELEASE