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 language | English |
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Publication status | Published - Sept 2014 |
Externally published | Yes |
Event | Paper presented at the European Conference on Educational Research - Duration: 1 Sept 2014 → … |
Conference
Conference | Paper presented at the European Conference on Educational Research |
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Period | 1/09/14 → … |
Keywords
- ConQuest software
- Item parameter recovery estimation
- ACER
- Testing
- Assessment
- Rasch model
- Estimation method
Disciplines
- Educational Assessment, Evaluation, and Research