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Modeling Differences in Test-Taking Motivation: Exploring the Usefulness of the Mixture Rasch Model and Person-Fit Statistics

Datum:
1 juni 2013
Auteur:
Auteur: Mittelhaëuser, M., Béguin, A., & Sijtsma, K.
Opdrachtgever:
Cito

In analyzing test data, it is often assumed that students were motivated to answer the items correctly. However, if the test is administered in a low-stakes administration condition, students might not put their best effort into answering the items correctly. Within the item response theory (IRT) framework, lack of motivation threatens the consistency of proficiency and item parameter estimation and therefore the usefulness of the IRT model. The goal of the current study was to explore to what extent a mixture Rasch model and the l z person-fit statistic could be used to model motivational differences in data administered in a low-stakes administration condition.

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