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Stucky, Brian D.; Thissen, David; Edelen, Maria Orlando – Applied Psychological Measurement, 2013
Test developers often need to create unidimensional scales from multidimensional data. For item analysis, "marginal trace lines" capture the relation with the general dimension while accounting for nuisance dimensions and may prove to be a useful technique for creating short-form tests. This article describes the computations needed to obtain…
Descriptors: Test Construction, Test Length, Item Analysis, Item Response Theory
He, Wei; Reckase, Mark D. – Educational and Psychological Measurement, 2014
For computerized adaptive tests (CATs) to work well, they must have an item pool with sufficient numbers of good quality items. Many researchers have pointed out that, in developing item pools for CATs, not only is the item pool size important but also the distribution of item parameters and practical considerations such as content distribution…
Descriptors: Item Banks, Test Length, Computer Assisted Testing, Adaptive Testing
Peer reviewedGustafsson, Jan-Eric – Educational and Psychological Measurement, 1980
The statistically correct conditional maximum likelihood (CML) estimation method has not been used because of numerical problems. A solution is presented which allows a rapid computation of the CML esitmates also for long tests. CML has decisive advantages in the construction of statistical tests of goodness of fit. (Author/CP)
Descriptors: Goodness of Fit, Item Analysis, Latent Trait Theory, Mathematical Formulas
Maurelli, Vincent A.; Weiss, David J. – 1981
A monte carlo simulation was conducted to assess the effects in an adaptive testing strategy for test batteries of varying subtest order, subtest termination criterion, and variable versus fixed entry on the psychometric properties of an existent achievement test battery. Comparisons were made among conventionally administered tests and adaptive…
Descriptors: Achievement Tests, Adaptive Testing, Computer Assisted Testing, Latent Trait Theory
McKinley, Robert L.; Reckase, Mark D. – 1981
A study was conducted to compare tailored testing procedures based on a Bayesian ability estimation technique and on a maximum likelihood ability estimation technique. The Bayesian tailored testing procedure selected items so as to minimize the posterior variance of the ability estimate distribution, while the maximum likelihood tailored testing…
Descriptors: Academic Ability, Adaptive Testing, Bayesian Statistics, Comparative Analysis

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