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Pommerich, Mary; Nicewander, W. Alan – 1998
A simulation study was performed to determine whether a group's average percent correct in a content domain could be accurately estimated for groups taking a single test form and not the entire domain of items. Six Item Response Theory (IRT)-based domain score estimation methods were evaluated, under conditions of few items per content area per…
Descriptors: Ability, Estimation (Mathematics), Groups, Item Response Theory

May, Kim; Nicewander, W. Alan – Educational and Psychological Measurement, 1998
The degree to which scale distortion in the ordinary difference score can be removed by using differences based on estimated examinee proficiency (theta) in either conventional or adaptive testing situations was studied using Item Response Theory. Using estimated thetas removed much scale distortion for both conventional and adaptive tests. (SLD)
Descriptors: Ability, Achievement Gains, Adaptive Testing, Estimation (Mathematics)

Nicewander, W. Alan; Thomasson, Gary L. – Applied Psychological Measurement, 1999
Derives three reliability estimates for the Bayes modal estimate (BME) and the maximum-likelihood estimate (MLE) of theta in computerized adaptive tests (CATs). Computes the three reliability estimates and the true reliabilities of both BME and MLE for seven simulated CATs. Results show the true reliabilities for BME and MLE to be nearly identical…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
Pommerich, Mary; Nicewander, W. Alan – 1998
A simulation study was performed to determine whether a group's average percent correct in a content domain could be accurately estimated for groups taking a single test form and not the entire domain of items. Six Item Response Theory (IRT) -based domain score estimation methods were evaluated, under conditions of few items per content area per…
Descriptors: Ability, Estimation (Mathematics), Group Membership, Item Response Theory

Kim, Jwa K.; Nicewander, W. Alan – Psychometrika, 1993
Bias, standard error, and reliability of five ability estimators were evaluated using Monte Carlo estimates of the unknown conditional means and variances of the estimators. Results indicate that estimates based on Bayesian modal, expected a posteriori, and weighted likelihood estimators were reasonably unbiased with relatively small standard…
Descriptors: Ability, Bayesian Statistics, Equations (Mathematics), Error of Measurement