Comparing optimization algorithms for item selection in Mokken scale analysis

DOI10.1007/s00357-013-9122-yzbMath1360.62533OpenAlexW2102335529MaRDI QIDQ288853

L. Andries van der Ark, J. Hendrik Straat, Klaas Sijtsma

Publication date: 27 May 2016

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-013-9122-y

zbMATH Keywords

genetic algorithmitem selectionMokken scalingtest construction

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (4)

A test to distinguish monotone homogeneity from monotone multifactor models ⋮ An exact method for partitioning dichotomous items within the framework of the monotone homogeneity model ⋮ A tutorial on how to do a Mokken scale analysis on your test and questionnaire data ⋮ Incomplete tests of conditional association for the assessment of model assumptions

Uses Software

• Genocop
• mokken
• DIMTEST

Cites Work

• A note on stochastic ordering of the latent trait using the sum of polytomous item scores
• Essential independence and likelihood-based ability estimation for polytomous items
• Stochastic ordering using the latent trait and the sum score in polytomous IRT models
• Some standard errors in item response theory
• The theoretical detect index of dimensionality and its application to approximate simple structure
• Stochastic ordering of the latent trait by the sum score under various polytomous IRT models
• Conditional covariance theory and detect for polytomous items
• Mokken scale analysis for dichotomous items using marginal models
• Two-group classification in latent trait theory: Scores with monotone likelihood ratio
• 22 Nonparametric Item Response Theory and Special Topics
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