This note sketches two computational shortcuts for estimating unidimensional item response models and multidimensional item response models with between-item dimensionality utilizing an expectation-maximization (EM) algorithm that relies on numerical integration with fixed quadrature points. It is shown that the number of operations required in the E-step can be reduced in situations of many cases and many items by appropriate shortcuts. Consequently, software implementations of a modified E-step in the EM algorithm could benefit from gains in computation time.
Original languageEnglish
Article numbere3783
JournalQuantitative and Computational Methods in Behavioral Sciences
Issue number1
Number of pages16
Publication statusPublished - 11.05.2021
No renderer: handleNetPortal,dk.atira.pure.api.shared.model.researchoutput.ContributionToJournal

    Research areas

  • Methodological research and method development - computation time, statistical software, item response model, EM algorithm

ID: 1593842