NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
A Systematic Comparison between Classical Optimal Scaling and the Two-Parameter IRT Model
Peer reviewed Peer reviewed
Direct linkDirect link
Warrens, Matthijs J.; de Gruijter, Dato N. M.; Heiser, Willem J. – Applied Psychological Measurement, 2007
In this article, the relationship between two alternative methods for the analysis of multivariate categorical data is systematically explored. It is shown that the person score of the first dimension of classical optimal scaling correlates strongly with the latent variable for the two-parameter item response theory (IRT) model. Next, under the…
Descriptors: Scaling, Evaluation Methods, Item Response Theory, Comparative Analysis
Test Construction by Means of Linear Programming.
Peer reviewed Peer reviewed
de Gruijter, Dato N. M. – Applied Psychological Measurement, 1990
Following a brief discussion of test construction by linear programing, the results of a study by F. B. Baker and others (1988) with respect to a uniform target is replicated. It is demonstrated that the result depends on characteristics of the item pool. (SLD)
Descriptors: Item Response Theory, Linear Programing, Mathematical Models, Test Construction
Standard Errors of Item Parameter Estimates in Incomplete Designs.
Peer reviewed Peer reviewed
de Gruijter, Dato N. M. – Applied Psychological Measurement, 1988
Derivation of asymptotic variance-covariance matrices for item and personal parameters in item response models is demonstrated for one- and two-parameter models using maximum likelihood estimation. The results can be used in incomplete designs and in estimation of the accuracy of various designs beforehand. (TJH)
Descriptors: Analysis of Covariance, Analysis of Variance, Equations (Mathematics), Error of Measurement
Comparison of the Nonparametric Mokken Model and Parametric IRT Models Using Latent Class Analysis.
Peer reviewed Peer reviewed
de Gruijter, Dato N. M. – Applied Psychological Measurement, 1994
The nonparametric Mokken model of test data was compared with parametric models using simulated data through latent class analysis. It is demonstrated that latent class analysis provides a consistent comparison of item response models. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Item Response Theory, Nonparametric Statistics