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Fig. 1 Item difficulty estimates for the three schools.
Figure 2 displays person ability, item difficulty, can-do item difficulty estimates on a Rasch map.
Fig. 2 Person ability, item difficulty, can-do item difficulty estimates on a Rasch map.
When item difficulty estimates are at far ends of the scale, the standard errors are large.
Rasch item reliability coefficients were high, indicating item difficulty estimates were scattered along a continuum.
As the table shows, there is no clear pattern in difficulty of the items according to tier, because both tiers have average item difficulty estimates that are negative.
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The budget office has particular difficulty estimating savings when it considers more than one change at once.
In particular, elderly drivers have difficulty estimating oncoming vehicle time-to-contact (TTC).
Moreover, the content of Proportional Reasoning shows the opposite pattern: tier 1 items are actually harder on average (average difficulty estimate of 0.57), whereas the tier 2 items are relatively easier on average (average difficulty estimate of −0.40).
Participants appeared to have most difficulty estimating times for task components involving fine manipulation, such as inserting and tightening screws.
Combinatorial Reasoning follows the pattern similar to the LPDI items in data set 1: tier 1 items are somewhat easier (average difficulty estimate of −0.16) than the tier 2 items (average difficulty estimate of 0.02).
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