Multidimensional item response theory (MIRT) computerized
adaptive testing, building on recent work by
Segall (1996), is applied in a licensing/certification
context. An example of a medical licensure test is used
to demonstrate situations in which complex, integrated
content must be balanced at the total test level for validity
reasons, but items assigned to reportable
subscore categories may be used under a MIRT adaptive
paradigm to improve the reliability of the subscores. A
heuristic optimization framework is outlined that generalizes
to both univariate and multivariate statistical
objective functions, with additional systems of constraints
included to manage the content balancing or
other test specifications on adaptively constructed test
forms. Simulation results suggested that a multivariate
treatment of the problem, although complicating somewhat
the objective function used and the estimation of
traits, nonetheless produces advantages from a psychometric
perspective. Index terms: adaptive testing,
computerized adaptive testing, information functions,
licensure testing, multidimensional item response
theory, sequential testing.
Luecht, Richard M..
Multidimensional computerized adaptive testing in a certification or licensure context.
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