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Table 3 Item statistics Item Mean SD Corrected item-total correlation Rasch analysis Measure Model S.E.
But it would facilitate test development if the item statistics were not directly tied to the choice of examinee sample.
This means that test item statistics are very dependent on the sample of examinees used in item calibration.
Thus, Phase 2 can be seen as a field trial of the items prior to final calibration of item statistics.
Out of the box, DSpace item statistics are only available by clicking a link on the item page to go to a separate stats page.
As Gulliksen (1950) presented, and many readers know, within a CTT framework, item statistics are examinee sample-dependent for CTT models.
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Too high inter-item statistics (≥ 0.9) can indicate a redundancy of an item.
Item-by-item descriptive statistics are shown in Table 2.
Item-by-item descriptive statistics are reported in Table 2.
To determine item fit statistics, infit and outfit mean square (MNSQ) statistics were calculated, which specify how well each item fits the Rasch model.
Item-total statistics (alpha when item deleted) for each factor also remained stable, providing further internal structure validity evidence for the ACT.
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