Marginal Maximum Likelihood Estimation for the Ordered Partition Model
- 1 March 1993
- journal article
- Published by American Educational Research Association (AERA) in Journal of Educational Statistics
- Vol. 18 (1) , 69-90
- https://doi.org/10.3102/10769986018001069
Abstract
This article describes a marginal maximum likelihood (MML) estimation algorithm for Wilson’s (1990) ordered partition model (OPM), a measurement model that does not require the set of available responses to assessment tasks to be fully ordered. The model and its estimation algorithm are illustrated through the analysis of an example data set. In the example, we use the ordered partition model to compare a set of alternative scoring schemes for open-ended science items.Keywords
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