Evaluation of item parameter recovery estimation by ACER ConQuest software

Research output: Contribution to conferencePresentation

Abstract

ACER ConQuest (Adams, Wu, and Wilson, 2012) has been popularly used for analysing testing and assessment data. Two of the most common estimation methods for Rasch measurement models (Rasch, 1960/1980) are available in this software, marginal maximum likelihood estimation (MML) and joint maximum likelihood estimation (JML). This study is concerned with item parameter recovery for the dichotomous Rasch model. Our primary focus is on comparing JML and MML when the assumptions of MML are violated, that is the abilities are not sampled from the distribution that is assumed in the estimation.
Original languageEnglish
Publication statusPublished - Sept 2014
Externally publishedYes
EventPaper presented at the European Conference on Educational Research -
Duration: 1 Sept 2014 → …

Conference

ConferencePaper presented at the European Conference on Educational Research
Period1/09/14 → …

Keywords

  • ConQuest software
  • Item parameter recovery estimation
  • ACER
  • Testing
  • Assessment
  • Rasch model
  • Estimation method

Disciplines

  • Educational Assessment, Evaluation, and Research

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