Sentence examples for testing quantitative from inspiring English sources
Similar to its utility as a universal quantitative standard for standard curve analysis [16], genomic DNA isolated from the target species has also proven to be effective not only for testing quantitative precision across multiple amplicons and targets, but can also be useful for assessing target specificity (data not shown).
The ICC test is a good option when testing quantitative measurements made by different observers measuring the same parameter.
Our methodology provides a comprehensive framework for testing quantitative models of patterning, growth and morphogenetic mechanisms in Tribolium and other arthropod species.
As qualitative research is normally meant to allow for hypothesis generation and not hypothesis testing, quantitative research is warranted to determine the extent to which the findings are valid for a larger proportion of the population.
Several methods have been developed to assess sudomotor function with variable degree of complexity and accuracy including thermoregulatory sweat testing, quantitative sudomotor axon reflex test sympathetic skin response, and quantitative direct and indirect axon reflex testing, silicone impressions, and the indicator plaster.
The development of approaches to measuring such outcomes will require not only developing and testing quantitative measures, but also further qualitative investigation about how people make judgements about whether or not a new practice can be considered 'normalised', and how that may or may not have happened.
Test used, Mann Whitney test (quantitative data) and Fisher's test for proportion and rate.
A pre-test post-test quantitative design was used.
A one-hour achievement static LC test Quantitative analysis Analysis of test scores: b.
As the distribution was not normal (Shapiro Wilk test), quantitative data were expressed using median and interquartile range.
Multi-center clinical studies with quantitative end points, typically involves imaging a standard phantom to test quantitative accuracy and inter-center variability.
