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Missing item-level data are commonly reported.
EPCglobal network was designed aiming at sharing information and increasing interoperability, effectiveness and visibility of the supply chain networks via RFID-enable technologies, open architecture, and item-level data query.
The DSQ was feasible to implement with few item-level data missing at baseline.
Future research could conduct factor analysis on item-level data rather than just section score totals.
The study used the GSEEE item-level data from one major university in Southern China.
First, the unavailability of the item-level data precluded modeling a higher-order model for the TOEFL iBT test.
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Without this information, only item level data can be presented descriptively.
However, residual inspection (at the test, item and category level) provided enough evidence to consider that the model actually fitted the item level data.
ESM 1 Excel files with item level data and stimulus characteristics.
These domain model algorithms can be applied to item level data when domain scores are generated, or when item level data is not available as is often the case when effectiveness information is drawn from published trial data.
These limitations are associated with having only total percentile scores in the analyses, rather than item level data.
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