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Indices are sensitive to the items included, how they are grouped, and how they are weighted in calculations of summary scores (O'Hare and Bramstedt 2003; Zill 2006; Land et al. 2001).
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The Cronbach α is sensitive to the number of items in the dimension; with increasing number of items, the Cronbach α is likely to increase.
Cronbach's alpha is very sensitive to the number of items in a factor, and we made the decision to keep the item number small to minimize potential burden on future research participants, perhaps with implications for each factor's alpha level [ 41].
It is well known that, in addition to other limitations [ 23], Cronbach's alpha is sensitive to the number of items in a scale [ 24]; specifically, alpha is inflated as the number of items increases [ 25] as demonstrated through Monte Carlo simulation [ 24], and this phenomenon is apparent in the reliability data from both studies.
That is, the amplitude should be sensitive to the number of items maintained in VWM, and should also reflect individual differences in VWM capacity.
We will also examine if this process is sensitive to the distribution of items among patches during a time-limited foraging task.
Similarly, one study of multiple object tracking (MOT) observed activity similar to the CDA and found that the amplitude of the observed CDA was sensitive to the number of items tracked, and was related to an individual's tracking capacity [39].
The α values are sensitive to the number of items, and low numbers may lead to low α values, which could possibly explain the results [ 36].
Cronbach's α is sensitive to the number of test items, and the two patient safety scales that did not meet the criterion of 0.70 (0.614 and 0.667) had three test items each.
It is important to acknowledge that our manipulations did not identify all areas that contribute to semantic and phonological processing, but only those that are sensitive to the relationship between successive items during reading and naming.
For instance, the merging of constant biclusters can follow a statistical test sensitive to the closeness of different items (heuristics based on overlapping rows-and-columns should also be considered).
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