Comparing Optimization Algorithms for Item Selection in Mokken Scale Analysis

Mokken scale analysis uses an automated bottom-up stepwise item selection procedure that suffers from two problems. First, when selected during the procedure items satisfy the scaling conditions but they may fail to do so after the scale has been completed. Second, the procedure is approximate and t...

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Veröffentlicht in:	Journal of classification Jg. 30; H. 1; S. 75 - 99
Hauptverfasser:	Straat, J. Hendrik, van der Ark, L. Andries, Sijtsma, Klaas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer-Verlag 01.04.2013 Springer Nature B.V
Schlagworte:	Algorithms Alleviation Analysis Bioinformatics Classification Genetic algorithms Genetics Marketing Mathematics and Statistics Measures Optimization Pattern Recognition Psychometrics Selection Signal,Image and Speech Processing Simulation Statistical Theory and Methods Statistics Mokken scaling Item selection Genetic algorithm Test construction
ISSN:	0176-4268, 1432-1343
Online-Zugang:	Volltext
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