Asymmetric item characteristic curves and item complexity: insights from simulation and real data analyses

DOI10.1007/s11336-017-9586-5zbMath1391.62286OpenAlexW2758798876WikidataQ47921868 ScholiaQ47921868MaRDI QIDQ725298

Sora Lee, Daniel M. Bolt

Publication date: 1 August 2018

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-017-9586-5

zbMATH Keywords

item response theoryitem validationasymmetric item characteristic curvesitem complexity

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (2)

Revisiting the Samejima-Bolfarine-Bazán IRT models: new features and extensions ⋮ Item complexity: a neglected psychometric feature of test items?

Uses Software

• ltm
• TESTGRAF

Cites Work

• Unnamed Item
• The heteroscedastic graded response model with a skewed latent trait: testing statistical and substantive hypotheses related to skewed item category functions
• Psychometric latent response models
• Acceleration model in the heterogeneous case of the general graded response model
• Heteroscedastic latent trait models for dichotomous data
• Conjunctive item response theory kernels
• Logistic positive exponent family of models: virtue of asymmetric item characteristic curves
• A hierarchical framework for modeling speed and accuracy on test items
• Item Response Theory
• A skew item response model

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