Skip to main content

Part of the book series: Contributions to Statistics ((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).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mariagiulia Matteucci .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Physica-Verlag Heidelberg

About this paper

Cite this paper

Matteucci, M., Mignani, S., Veldkamp, B.P. (2009). Issues on item response theory modelling. In: Monari, P., Bini, M., Piccolo, D., Salmaso, L. (eds) Statistical Methods for the Evaluation of Educational Services and Quality of Products. Contributions to Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2385-1_3

Download citation

Publish with us

Policies and ethics