Aggregate item response analysis

Gordon G. Bechtel*, Chezy Ofir

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

A stochastic postulate is given for the multiple-item, successive-intervals scaling of populations. The logistic equivalent of this postulate provides an aggregate item response model in which a unidimensional submodel may be nested. This reduction provides a subtractive conjoint measurement of several items and stimuli on the same latent scale. Generalized-least-squares methods are used to estimate and test the multiple-item model, and its unidimensional reduction, on aggregate survey responses. The entire procedure is illustrated with an analysis of semantic-differential attitude data. This analysis exhibits an item selection procedure that is applicable to various social constructs.

Original languageEnglish
Pages (from-to)93-107
Number of pages15
JournalPsychometrika
Volume53
Issue number1
DOIs
StatePublished - Mar 1988

Keywords

  • correlated multinomials
  • generalized least squares
  • item scalability
  • logit
  • successive intervals

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