Evaluation of implied orders as a basis for tailored testing with simulation data
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Evaluation of implied orders as a basis for tailored testing with simulation data
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1979
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Abstract
Monte carlo research with TAILOR, a program
using Implied Orders as a basis for tailored testing,
is reported. Birnbaum’s (1968) three-parameter
logistic model was used to generate data matrices
under a variety of simulated conditions. It was
found that TAILOR typically required about half
the available items to estimate for each simulated
examinee the responses on the remainder. Validity
of Tailored score with True score was found to be
within a few points of True score with Complete
test score. Increasing item discrimination affected
the efficiency of the tailored test, but the procedure
was little affected by any of a variety of other factors.
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Cliff, Norman, Cudeck, Robert & McCormick, Douglas J. (1979). Evaluation of implied orders as a basis for tailored testing with simulation data. Applied Psychological Measurement, 3, 495-514. doi:10.1177/014662167900300407
Suggested citation
Cliff, Norman; Cudeck, Robert; McCormick, Douglas J.. (1979). Evaluation of implied orders as a basis for tailored testing with simulation data. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/99936.
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