To date most studies have taken quantitative, choice-based or equivalence (matching) approaches to preference elicitation.
These findings show that our results generalize beyond the specific quantitative choice of peak conductance parameters of the Connor Stevens model.
The empirical literature had previously not explored qualitatively and in-depth the views that exist, instead studies have been quantitative, choice based or equivalence approaches to preference elicitation.
We hypothesize that when plants face conditions that require rapid growth, such as when germinating in soil or when under a canopy, limited resources are invested in this developmental process at the expense of immunity in what must be a quantitative choice.
The COMPASs Study will use quantitative discrete choice methods to assess Australian men's preferences for prostate cancer screening.
We believe that a more promising way forward, adopted in this and other recent studies, is the quantitative analysis of choice behavior in rigorously controlled behavioral contexts (for reviews see [26], [72], [73], [74], [75], [76], [77]).
In the second phase, a quantitative questionnaire (multiple choice, Likert scale and free text) covering 140 learning objectives and subdivided into 8 categories was sent to 341 ESVN and ECVN members and a return rate of 62% (n = 213/341) was achieved.
Compared with the single model, the new ensemble model can provide more robust prediction results and can be considered to be an alternative choice for quantitative analytical applications.
It is also a simple illustrating example concerning the fact that you can often make quite precise quantitative forecasts concerning the choices of people.
Technology prioritization methodologies have been developed in support of the ESA Exploration Technology Roadmaps, in order to provide logical and quantitative instruments to verify choices of prioritization that can be carried out based on important, but non-quantitative factors.
4) To anticipate future developments in the context you typically need both quantitative data concerning past choices of actors and the analysis of weak signals or wild cards related, e.g., to technological options.
