The Mixed Birnbaum Model : Estimation using Collateral Information

@inproceedings{Smit2001TheMB,
  title={The Mixed Birnbaum Model : Estimation using Collateral Information},
  author={A. Smit and Henk Kelderman and Henk van der Flier},
  year={2001}
}
This paper introduces the Mixed Birnbaum model with collateral information. A simulation study is conducted to evaluate parameter estimation for this model. More specifically, the gain of incorporating collateral information into the model is investigated. The results show that the standard errors as well as latent class assignment can benefit substantially from incorporating external variables that associate with the latent class variable, especially when the sample size is relatively large. 

References

Publications referenced by this paper.
Showing 1-10 of 20 references

Some latent trait models and their use in inferring an examinee’s ability

  • A. Birnbaum
  • 1968
Highly Influential
6 Excerpts

Applications of latent trait and latent class models in the social siences

  • J. Rost, R. Langeheine
  • Waxmann Verlag GmbH
  • 1997
1 Excerpt

Handbook of modern item response theory

  • Linden, W. Van der, R. Hambleton
  • 1997

Log-linear models for event histories

  • J. Vermunt
  • Thousand Oaks, CA, USA: Sage Publications,
  • 1997
1 Excerpt

Objective measurement: Theory into practice (Vol

  • M. Wilson, G. Engelhard, K. Draney
  • 1997

Rasch models - foundations, recent developments, and applications

  • G. H. Fisher, I. W. Molenaar
  • 1995
1 Excerpt

Discrete latent variable models

  • T. Heinen
  • 1993
2 Excerpts

Loglinear models with latent variables. Sage Publications

  • J. A. Hagenaars
  • 1993
1 Excerpt

Modeling item responses when different subjects employ different solution strategies

  • R. J. Mislevy, N. Verhelst
  • Psychometrika
  • 1990
1 Excerpt

Similar Papers

Loading similar papers…