Sentence examples for performance was not due from inspiring English sources

A multiple regression analysis indicated that the effect of distance on light detection performance was not due to changes in the projected size of the light target.

More importantly, the reason for their elevated performance was not due to their working harder, but rather being more efficient (i.e. they had a high intensity focus).

While each of these lines of evidence alone have been cited in the past as evidence that implicit test performance was not due to explicit memory retrieval, collectively, these four lines of evidence make it nearly impossible that participants engaged in explicit recollection on this implicit memory test and that such explicit recollection is responsible for the results obtained [45], [46].

Pretest scores did not significantly correlate with grades on this unit (r84 = 0.164, p > 0.10), suggesting that differential student performance was not due to some students being better prepared than others but rather due to genuine gains in learning.

Regardless, the relationship between FFA activity and performance was not due to these potential outliers, as can be seen by inspecting Figure 3 B. Removing data when performance was below a threshold d′ of 0.75 still yielded a reliable correlation (r = 0.47, p < 0.02).

The fact that RTs for the number task were significantly higher in this experiment as compared to Experiment 1 shows that subjects were actively engaging with the second task and that their chance performance was not due to ignoring that task.

This also indicates that the difference in the electrolyte performance is not due to their conductivity since these three electrolytes have similar conductivity.

It suggests that the improvements of fuel cell performance are not due simply to increased water content in the composite membrane, but that there is an interaction between proton mobility and structure.

Our study suggests that their low performance is not due to not attending preschool.

As will be discussed shortly, the unsatisfactory performance is not due to the proposed track formation algorithm itself; rather, it is a manifestation of inaccurate clustering that results from badly shaped TSSG estimates to begin with.

This supports our findings that the classifier performance is not due to random chance; that is, the chance of the null hypothesis (that we would see this 0.715 AUC performance, by chance alone) is P < 0.01.