A comparison of two estimation algorithms for Samejima's continuous IRT model

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4 Scopus citations

Abstract

This study compares two algorithms, as implemented in two different computer softwares, that have appeared in the literature for estimating item parameters of Samejima's continuous response model (CRM) in a simulation environment. In addition to the simulation study, a real-data illustration is provided, and CRM is used as a potential psychometric tool for analyzing measurement outcomes in the context of curriculum-based measurement (CBM) in the field of education. The results indicate that a simplified expectation-maximization (EM) algorithm is as effective and efficient as the traditional EM algorithm for estimating the CRM item parameters. The results also show promise for using this psychometric model to analyze CBM outcomes, although more research is needed in order to recommend CRM as a standard practice in the CBM context.

Original languageEnglish (US)
Pages (from-to)54-64
Number of pages11
JournalBehavior Research Methods
Volume45
Issue number1
DOIs
StatePublished - Mar 4 2013
Externally publishedYes

Keywords

  • Continuous IRT model
  • Continuous response model
  • Curriculum-based measurement
  • Item parameter estimation
  • Item parameter recovery
  • Item response theory
  • Simulation

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Psychology (miscellaneous)
  • Psychology(all)

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