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Application of Multivariate Rasch Models in International Large-Scale Educational Assessments

  • Raymond J. Adams
  • Margaret L. Wu
  • Claus H. Carstensen
Chapter
Part of the Statistics for Social and Behavioral Sciences book series (SSBS)

Abstract

In large-scale educational assessments, such as the Programme for International Student Assessment (PISA) and the Trends in Mathematics and Science Study (TIMSS), a primary concern is with the estimation of the populationlevel characteristics of a number of latent variables and the relationships between latent variables and other variables. Typically these studies are undertaken in contexts in which there are constraints on sample size and individual student response time, yet there are high expectations with regard to the breadth of content coverage. These demands and constraints have resulted in such studies using rotated-booklet designs, with each student responding to a limited number of items on each of a number of scales. This paper describes the techniques that have been employed in such studies to enable the reliable estimation of population characteristics when there is considerable unreliability at the student level. It also discusses the methodology that is used to make the data sets produced in such studies amenable for use by data analysts undertaking secondary analyses using standard analytic tools.

Keywords

Item Response Model Large Scale Assessment Test Booklet Secondary Analyst Socioeconomic Status Index 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science + Business Media, LLC 2007

Authors and Affiliations

  • Raymond J. Adams
    • 1
  • Margaret L. Wu
    • 1
  • Claus H. Carstensen
    • 2
  1. 1.University of MelbourneMelbourneAustralia
  2. 2.Leibniz Institute for Science EducationKielGermany

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