{
  "creator": [
    "Robitzsch, Alexander"
  ],
  "date": [
    "2021-05-11"
  ],
  "description": [
    "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."
  ],
  "format": [
    "application/pdf",
    "text/html",
    "text/xml"
  ],
  "identifier": [
    "https://qcmb.psychopen.eu/index.php/qcmb/article/view/3783",
    "10.5964/qcmb.3783"
  ],
  "language": [
    "eng"
  ],
  "publisher": [
    "PsychOpen GOLD / Leibniz Institut for Psychology (ZPID)"
  ],
  "relation": [
    "https://qcmb.psychopen.eu/index.php/qcmb/article/view/3783/3783.pdf",
    "https://qcmb.psychopen.eu/index.php/qcmb/article/view/3783/3783.html",
    "https://qcmb.psychopen.eu/index.php/qcmb/article/view/3783/3783.xml"
  ],
  "rights": [
    "Copyright (c) 2021 Alexander Robitzsch",
    "https://creativecommons.org/licenses/by/4.0"
  ],
  "source": [
    "Quantitative and Computational Methods in Behavioral Sciences; 2021; 1-16",
    "2699-8432",
    "10.5964/qcmb.v1i1"
  ],
  "subject": [
    "computation time",
    "statistical software",
    "item response model",
    "EM algorithm"
  ],
  "title": [
    "A Note on a Computationally Efficient Implementation of the EM Algorithm in Item Response Models"
  ],
  "type": [
    "info:eu-repo/semantics/article",
    "info:eu-repo/semantics/publishedVersion",
    "Peer-reviewed Article"
  ]
}