DOI

  • Alexander Robitzsch
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
Volume1
Issue number1
Number of pages16
DOIs
Publication statusPublished - 11.05.2021

    Research areas

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

ID: 1593842