Advertisement

Issues on item response theory modelling

  • Mariagiulia Matteucci
  • Stefania Mignani
  • Bernard P. Veldkamp
Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)

Abstract

Item response theory (IRT) models have been developed in order to study the individual responses to a set of items designed to measure latent abilities. IRT is a measurement theory that was first formalized in the sixties with the fundamental work of Lord and Novick (1968) and it has a predominant role in educational assessment (see van der Linden and Hambleton, 1997).

Keywords

Markov Chain Monte Carlo Conditional Distribution Item Response Theory Gibbs Sampler Item Parameter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Notes

Acknowledgments

The authors would like to thank the National Evaluation Institute for the School System (INVALSI) for the availability of the data used in the case study, and especially Roberto Ricci for his useful support in the data management and interpretation.

Copyright information

© Physica-Verlag Heidelberg 2009

Authors and Affiliations

  • Mariagiulia Matteucci
    • 1
  • Stefania Mignani
    • 2
  • Bernard P. Veldkamp
    • 3
  1. 1.Department of Statistical SciencesUniversity of BolognaBolognaItaly
  2. 2.Statistics Department “Paolo Fortunati”University of BolognaBolognaItaly
  3. 3.Department of Research Methodology, Measurement and Data AnalysisUniversity of TwenteEnschedeThe Netherlands

Personalised recommendations