Sentence examples for between these two testing from inspiring English sources

Exact(3)

Constraints and volumes of material are the main differences between these two testing procedures.

However, in this feasibility demonstration of in situ microscale fatigue testing, microscale specimens exhibit enhanced fatigue properties relative to conventional specimens, which may result from the differences in strain rate and, potentially, the method of test control (load vs. displacement) between these two testing methods.

Further, when we looked specifically for gender differences in performance between these two testing formats, we found none.

Similar(57)

The experimental conditions were exactly the same as Test 3 (Table 5). Figure 15 shows a comparison between these two tests.

The comparison of Figure 6b,c illustrates the difference between these two tests: 1.

Moreover, although high correlations were observed between these two tests, each of them was made for different aims and, thus, may have divergent test constructs from each other.

Overall, though, it is clear that there is more comparability than difference between these two tests in terms of reading and writing.

The higher-order model was found to be the best fit for TEAP, and also, the test constructs were similar between these two tests, both measuring academic English skills.

Although no accurate predictive function has been established between the oral fluid THC concentration and the whole blood THC concentration, studies have showed a correlation between these two test results (Lee and Huestis 2014).

Despite these results need to be interpreted with caution, due to the correlation between these two test based measures and PIAAC scores, the fact that skipped test item enters in a statistically significant way in the earnings equation even after controlling for PIAAC test scores, suggests that they may be better capturing some non-cognitive skills than PIAAC test scores.

As it was made clear in the previous section, it may be possible to predict or rank, but not substitute, a subject's score in one test given their scores in the other and the degree of correlation between these two tests (Mackey & Gass 2005).

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