Sentence examples for complexity of items from inspiring English sources

There are many differences among inventory control and maintenance systems due to quantity and complexity of items, type and nature of items, costs of operating system, multi-echelonment of system, probability degree of system, and even competitors status.

The size of this matrix is determined only by the number of data items, whatever the nature or the complexity of these items.

Concerning the complexity of certain items, we applied the ICF-linking rule referring to items encompassing different constructs, an example is shown in Figure  2.

We first reviewed the actual items and related the identified thresholds to the reading load and complexity of individual items with respect to the mode and median of the RT distributions and whether there were additional materials (tables or figures) to process (see the discussion in "defining RT thresholds").

First, we reviewed the actual items to make sure the thresholds corresponded to the reading load and complexity of individual items.

Second, the data of several empirical studies cannot validate the hypothesized complexity of the items with Bloom's taxonomy of knowledge.

The three BWS variants (see Variants of best-worst scaling) differ in the nature and in the complexity of the items being chosen [33].

Firstly, there are differences in the complexity of the items and secondly, the ability to post them may be restricted to the user's own domain.

If costs associated with each type of resource are manipulated, e.g., by varying the complexity of the items studied or the visual separation of the arrays to be compared, according adjustments of resource allocation ("trade-offs") have been demonstrated.

Regardless of the complexity of the items, the user is always able to post them in his own domain (disclosed data) as well as to share the ones originally published by his contacts (disseminated data).

In our earlier study (Lesch et al. 2011), it tended to be the case that comprehensibility was highly negatively correlated with complexity – therefore, we had to rely on regression analyses to try to determine whether the high comprehensibility or the low complexity of our items predicted higher comprehension rates.