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Kettler, Ryan J.; Rodriguez, Michael C.; Bolt, Daniel M.; Elliott, Stephen N.; Beddow, Peter A.; Kurz, Alexander – Applied Measurement in Education, 2011
Federal policy on alternate assessment based on modified academic achievement standards (AA-MAS) inspired this research. Specifically, an experimental study was conducted to determine whether tests composed of modified items would have the same level of reliability as tests composed of original items, and whether these modified items helped reduce…
Descriptors: Multiple Choice Tests, Test Items, Alternative Assessment, Test Reliability
Wells, Craig S.; Bolt, Daniel M. – Applied Measurement in Education, 2008
Tests of model misfit are often performed to validate the use of a particular model in item response theory. Douglas and Cohen (2001) introduced a general nonparametric approach for detecting misfit under the two-parameter logistic model. However, the statistical properties of their approach, and empirical comparisons to other methods, have not…
Descriptors: Test Length, Test Items, Monte Carlo Methods, Nonparametric Statistics
Mroch, Andrew A.; Bolt, Daniel M. – Applied Measurement in Education, 2006
Recently, nonparametric methods have been proposed that provide a dimensionally based description of test structure for tests with dichotomous items. Because such methods are based on different notions of dimensionality than are assumed when using a psychometric model, it remains unclear whether these procedures might lead to a different…
Descriptors: Simulation, Comparative Analysis, Psychometrics, Methods Research
Peer reviewedBolt, Daniel M. – Applied Measurement in Education, 2002
Compared two parametric procedures for detecting differential item functioning (DIF) using the graded response model (GRM), the GRM-likelihood ratio test and the GRM-differential functioning of items and tests, with a nonparametric DIF detection procedure, Poly-SIBTEST. Monte Carlo simulation results show that Poly-SIBTEST showed the least amount…
Descriptors: Comparative Analysis, Item Bias, Monte Carlo Methods, Nonparametric Statistics
Peer reviewedBolt, Daniel M. – Applied Measurement in Education, 1999
Examined whether the item response theory (IRT) true-score equating method is more adversely affected by the presence of multidimensionality than two conventional equating methods, linear and equipercentile equating. Results of two simulation studies suggest that the IRT method performs as well as the conventional methods when the correlation…
Descriptors: Correlation, Equated Scores, Item Response Theory, Simulation

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