Exact(1)
However even if it had been possible, it would not have overcome the difficulty in defining a comparison group from the IB recipients at non-participating GP practices, because only 20% of those eligible received the intervention (Table 2).
Similar(59)
Once the population is defined, a comparison between the students' qualification aim and any qualification awarded determines the leaving status of the student.
We define a comparison to be interpretable if either A or B can be considered as a 'control' or 'normal' state in the experiment.
Just over 60% of the studies in this review actually defined a comparison group, be it the general population or a more restricted internal or external population.
We defined a comparison family as the matched comparison child and that child's parents, guardians, or other care-taking adults living full time in the comparison child's home.
However, we used established criteria to identify women meeting strict criteria for moderate to severe PMS [ 25] as well as to define a comparison group of women experiencing no menstrual symptoms or few symptoms with no personal impact.
We were unable to define a comparison sample based on age for the level of life satisfaction among the medical students in their third year that did not overlap with the comparison groups being used for the other two points of time.
The main issues that arose were that characteristics of the intervention lead to difficulties in defining a suitable comparison group; and governance restrictions such as uncertainty regarding ethical consent processes and data sharing between agencies for research.
Its influence on academic careers is impossible to determine, because defining an appropriate comparison group is not feasible.
As mentioned in Section 1, we study labour market transitions by defining a hierarchy of nested comparisons between two subsets of responses by using a logistic additive model for each comparison (see the motivations in Section 1).
The Analytic Hierarchy Process (AHP) is a multi-dimensional, multi-level and multifactorial decision-making method based on the idea that it is possible to prioritize elements by: grouping them into meaningful categories and sub-categories; performing pairwise comparisons; defining a coherent framework of quantitative and qualitative knowledge; measuring intangible domains.
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