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Patsula, Liane N.; Gessaroli, Marc E. – 1995
Among the most popular techniques used to estimate item response theory (IRT) parameters are those used in the LOGIST and BILOG computer programs. Because of its accuracy with smaller sample sizes or differing test lengths, BILOG has become the standard to which new estimation programs are compared. However, BILOG is still complex and…
Descriptors: Comparative Analysis, Effect Size, Estimation (Mathematics), Item Response Theory
Seong, Tae-Je; And Others – 1997
This study was designed to compare the accuracy of three commonly used ability estimation procedures under the graded response model. The three methods, maximum likelihood (ML), expected a posteriori (EAP), and maximum a posteriori (MAP), were compared using a recovery study design for two sample sizes, two underlying ability distributions, and…
Descriptors: Ability, Comparative Analysis, Difficulty Level, Estimation (Mathematics)
Kim, Seock-Ho; And Others – 1992
Hierarchical Bayes procedures were compared for estimating item and ability parameters in item response theory. Simulated data sets from the two-parameter logistic model were analyzed using three different hierarchical Bayes procedures: (1) the joint Bayesian with known hyperparameters (JB1); (2) the joint Bayesian with information hyperpriors…
Descriptors: Ability, Bayesian Statistics, Comparative Analysis, Equations (Mathematics)
Schaefer, Mary M.; Gross, Susan K. – 1983
Viewing the reliability for criterion-referenced tests as that of mastery classification decisions, three models for determining reliability were examined using two test administrations so that two estimates could be compared to a standard. A major purpose of the research was to determine how several reliability coefficients (coefficient kappa, an…
Descriptors: Comparative Analysis, Correlation, Criterion Referenced Tests, Cutting Scores


