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Estimation of Latent Regression Item Response Theory Models Using a Second-Order Laplace Approximation
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
The estimation of high-dimensional latent regression item response theory (IRT) models is difficult because of the need to approximate integrals in the likelihood function. Proposed solutions in the literature include using ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)
In diagnostic classification models (DCMs), the Q matrix encodes in which attributes are required for each item. The Q matrix is usually predetermined by the researcher but may in practice be misspecified which yields ...