Dimensionality of the latent structure and item selection via latent class multidimensional IRT models

DOI10.1007/s11336-012-9278-0zbMath1284.62681OpenAlexW2040667231MaRDI QIDQ692421

Silvia Pandolfi, Giorgio E. Montanari, Francesco Bartolucci

Publication date: 5 December 2012

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-012-9278-0

zbMATH Keywords

EM algorithmhierarchical clusteringquality of lifediscriminating power

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (3)

A finite mixture approach to joint clustering of individuals and multivariate discrete outcomes ⋮ An exact method for partitioning dichotomous items within the framework of the monotone homogeneity model ⋮ Spare time use: profiles of Italian Millennials (beyond the media hype)

Uses Software

• Matlab

Cites Work

• Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
• Estimating the dimension of a model
• A class of multidimensional IRT models for testing unidimensionality and clustering items
• Finite mixture models
• Exploratory latent structure analysis using both identifiable and unidentifiable models
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