Psychometrika

, Volume 67, Issue 1, pp 123–136

Equivalent linear logistic test models

  • Timo M. Bechger
  • Huub H. F. M. Verstralen
  • Norman D. Verhelst
Articles

DOI: 10.1007/BF02294712

Cite this article as:
Bechger, T.M., Verstralen, H.H.F.M. & Verhelst, N.D. Psychometrika (2002) 67: 123. doi:10.1007/BF02294712

Abstract

This paper is about the Linear Logistic Test Model (LLTM). We demonstrate that there are infinitely many equivalent ways to specify a model. An implication is that there may well be many ways to change the specification of a given LLTM and achieve the same improvement in model fit. To illustrate this phenomenon, we analyze a real data set using a Lagrange multiplier test for the specification of the model. This Lagrange multiplier test is similar to the modification index used in structural equation modeling.

Key words

item response theory (IRT)linear logistic test modelLagrange multiplier test

Copyright information

© The Psychometric Society 2002

Authors and Affiliations

  • Timo M. Bechger
    • 1
  • Huub H. F. M. Verstralen
    • 1
  • Norman D. Verhelst
    • 1
  1. 1.Cito, National Institute for Educational MeasurementThe Netherlands
  2. 2.CitoArnhemThe Netherlands