Search results for author:"Martijn P F Berger"
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The Effectiveness of Propositional Manipulation as a Lecturing Method in the Statistics Knowledge Domain
Jimmie Leppink; Nick J. Broers; Tjaart Imbos; Cees P. M. van der Vleuten; Martijn P. F. Berger
Instructional Science: An International Journal of the Learning Sciences Vol. 41, No. 6 (November 2013) pp. 1127–1140
The current experiment examined the potential effects of the method of propositional manipulation (MPM) as a lecturing method on motivation to learn and conceptual understanding of statistics. MPM aims to help students develop conceptual...
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Empirical Comparison between Factor Analysis and Multidimensional Item Response Models
Dirk L. Knol; Martijn P. F. Berger
Multivariate Behavioral Research Vol. 26, No. 3 (1991) pp. 457–77
In a simulation study, factor analysis and multidimensional item response theory (IRT) models are compared with respect to estimates of item parameters. For multidimensional data, a common factor analysis on the matrix of tetrachoric correlations...
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Test Design Optimization in CAT Early Stage with the Nominal Response Model
Valeria Lima Passos; Martijn P. F. Berger; Frans E. Tan
Applied Psychological Measurement Vol. 31, No. 3 (2007) pp. 213–232
The early stage of computerized adaptive testing (CAT) refers to the phase of the trait estimation during the administration of only a few items. This phase can be characterized by bias and instability of estimation. In this study, an item selection ...
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The D-Optimality Item Selection Criterion in the Early Stage of CAT: A Study with the Graded Response Model
Valeria Lima Passos; Martijn P. F. Berger; Frans E. S. Tan
Journal of Educational and Behavioral Statistics Vol. 33, No. 1 (2008) pp. 88–110
During the early stage of computerized adaptive testing (CAT), item selection criteria based on Fisher"s information often produce less stable latent trait estimates than the Kullback-Leibler global information criterion. Robustness against early...
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Some New Item Selection Criteria for Adaptive Testing
Martijn P. F. Berger; Wim J. J. Veerkamp
Journal of Educational and Behavioral Statistics Vol. 22, No. 2 (1997) pp. 203–26
Some alternative criteria for item selection in adaptive testing are proposed that take into account uncertainty in the ability estimates. A simulation study shows that the likelihood weighted information criterion is a good alternative to the...