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Every Trait Counts: Marginal Maximum Likelihood Estimation for Novel Multidimensional Count Data Item Response Models with Rotation or l1-Regularization for Simple Structure

2024-03-11

Abstract excerpt

<p>The framework of multidimensional item response theory (MIRT) offers psychometric models for various data settings, most popularly for dichotomous and polytomous data. Less attention has been devoted to count responses. A recent growth in interest in count item response models (CIRM)---perhaps sparked by increased occurrence of psychometric count data, e.g., in the form of process data, clinical symptom frequen...

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Literature Corpus work
1bf3d98f-c387-546d-9ac6-6bd59f6be602
DOI
10.31234/osf.io/fqyjs
Open publication

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Every Trait Counts: Marginal Maximum Likelihood Estimation for Novel Multidimensional Count Data Item Response Models with Rotation or l1-Regularization for Simple StructureDOI 10.31234/osf.io/fqyjs
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