Chapter 7. Item Response Theory and Differential Item Functioning

  1. Peter M. Fayers1,2 and
  2. David Machin3,4,5

Published Online: 27 APR 2007

DOI: 10.1002/9780470024522.ch7

Quality of Life: The Assessment, Analysis and Interpretation of Patient-Reported Outcomes, Second edition

Quality of Life: The Assessment, Analysis and Interpretation of Patient-Reported Outcomes, Second edition

How to Cite

Fayers, P. M. and Machin, D. (2007) Item Response Theory and Differential Item Functioning, in Quality of Life: The Assessment, Analysis and Interpretation of Patient-Reported Outcomes, Second edition, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470024522.ch7

Author Information

  1. 1

    University of Aberdeen Medical School, Scotland, UK

  2. 2

    Norwegian University of Science and Technology (NTNU), Trondheim, Norway

  3. 3

    Division of Clinical Trials and Epidemiological Sciences, National Cancer Centre, Singapore

  4. 4

    School of Health and Related Research, University of Sheffield, England

  5. 5

    United Kingdom Children's Cancer Study Group (UKCCSG), University of Leicester, England

Publication History

  1. Published Online: 27 APR 2007
  2. Published Print: 2 MAR 2007

ISBN Information

Print ISBN: 9780470024508

Online ISBN: 9780470024522

SEARCH

Keywords:

  • item response theory (IRT) and differential item functioning;
  • item characteristic curve (ICC);
  • logistic item response model;
  • IRT and conditional logistic regression;
  • item information functions;
  • polytomous item response theory models;
  • Differential item functioning (DIF);
  • Mantel–Haenszel test

Summary

This chapter contains sections titled:

  • Introduction

  • Item characteristic curves

  • Logistic models

  • Fitting item response theory models: tips

  • Test design

  • IRT versus traditional and Guttman scales

  • Polytomous item response theory models

  • Differential item functioning

  • Quantifying differential item functioning

  • Exploring differential item functioning: tips

  • Conclusions

  • Further reading, and software