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Liu, Chen-Wei; Wang, Wen-Chung – Journal of Educational Measurement, 2017
The examinee-selected-item (ESI) design, in which examinees are required to respond to a fixed number of items in a given set of items (e.g., choose one item to respond from a pair of items), always yields incomplete data (i.e., only the selected items are answered and the others have missing data) that are likely nonignorable. Therefore, using…
Descriptors: Item Response Theory, Models, Maximum Likelihood Statistics, Data Analysis