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Belov, Dmitry I.; Armstrong, Ronald D. – Applied Psychological Measurement, 2008
This article presents an application of Monte Carlo methods for developing and assembling multistage adaptive tests (MSTs). A major advantage of the Monte Carlo assembly over other approaches (e.g., integer programming or enumerative heuristics) is that it provides a uniform sampling from all MSTs (or MST paths) available from a given item pool.…
Descriptors: Monte Carlo Methods, Adaptive Testing, Sampling, Item Response Theory
Dorans, Neil J.; Liu, Jinghua; Hammond, Shelby – Applied Psychological Measurement, 2008
This exploratory study was built on research spanning three decades. Petersen, Marco, and Stewart (1982) conducted a major empirical investigation of the efficacy of different equating methods. The studies reported in Dorans (1990) examined how different equating methods performed across samples selected in different ways. Recent population…
Descriptors: Test Format, Equated Scores, Sampling, Evaluation Methods
Peer reviewedBaker, Frank B. – Applied Psychological Measurement, 1996
Using the characteristic curve method for dichotomously scored test items, the sampling distributions of equating coefficients were examined. Simulations indicate that for the equating conditions studied, the sampling distributions of the equating coefficients appear to have acceptable characteristics, suggesting confidence in the values obtained…
Descriptors: Equated Scores, Item Response Theory, Sampling, Statistical Distributions
Peer reviewedHanson, Bradley A.; And Others – Applied Psychological Measurement, 1993
The delta method was used to derive standard errors (SES) of the Levine observed score and Levine true score linear test equating methods using data from two test forms. SES derived without the normality assumption and bootstrap SES were very close. The situation with skewed score distributions is also discussed. (SLD)
Descriptors: Equated Scores, Equations (Mathematics), Error of Measurement, Sampling

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