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An Item Response Theory Model for Student Ability Evaluation Using Computer-Automated Test Results

  • Stefania Mignani
  • Silvia Cagnone
  • Giorgio Casadei
  • Antonella Carbonaro
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

The aim of this paper is to evaluate the student learning about Computer Science subjects. A questionnaire based on ordinal scored items has been submitted to the students through a computer automated system. The data collected have been analyzed by using a latent variable model for ordinal data within the Item Response Theory framework. The scores obtained from the model allow to classify the students according to the reached competence.

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References

  1. LORD, F. M. and NOVICK, M. E. (1968): Statistical theories of mental test scores. Addison-Wesley Publishing Co.Google Scholar
  2. JÖRESKOG, K. and MOUSTAKI, I. (2001): Factor Analysis of Ordinal Variables: A Comparison of three Approaches. Multivariate Behavioral Research, 36, 347–387.CrossRefGoogle Scholar
  3. MOUSTAKI, I.(2000): A Latent Variable Model for Ordinal Variables. Applied Psychological Measurement, 24, 211–223.Google Scholar
  4. SAMEJIMA, F. (1969): Estimation of ability using a response pattern of graded scores. Psychometrika Monograph, 17.Google Scholar

Copyright information

© Springer-Verlag Berlin · Heidelberg 2005

Authors and Affiliations

  • Stefania Mignani
    • 1
  • Silvia Cagnone
    • 1
  • Giorgio Casadei
    • 2
  • Antonella Carbonaro
    • 2
  1. 1.Dipartimento di Scienze StatisticheUniversità di BolognaItaly
  2. 2.Dip. Scienze dell'InformazioneUniversità di BolognaItaly

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