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Interpersonal comparisons (even for the same individual over time) of utility are not generally available; and when they are, then it is the unitary measures which are not.
In conclusion, cardinal unitary measures are not necessary for comparability; and comparability is neither necessary nor sufficient for choice, or, specifically, economic, social or political decision-making, to achieve a desired state of welfare.
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It is concluded that, though the SIS-M was developed as a unitary measure of conformity, there is also compelling evidence that the SIS-M could be developed as a multi-dimensional measure of distinct, but related, conformity dimensions.
Without a unitary measure, and an algorithmic calculation method for decision-making, Neurath was articulating and urging a more general type of framework: a shift from a model of market economy to models of administrative economy [Verwaltungswirtschaft] or economy in kind [Naturalwirtschaft].
The accuracy measure used was DOR, as it is a unitary measure of diagnostic performance that encompasses both sensitivity and specificity or both LR positive and LR negative.
The accuracy measure used was DOR, as it is a unitary measure of diagnostic performance that encompasses both sensitivity and specificity.
The accuracy measure that is normally used is dOR, as it is a unitary measure of diagnostic performance that encompasses both sensitivity and specificity or both LR positive and LR negative.
This represents a good rationale for using the HADS as a unitary measure because it suggests that, in this population, the HADS could not discriminate between anxiety and depression.
Unfortunately, no simple, independent unitary measure of physical activity was available; however, a recent analysis has shown that the cognitive component of overall activity rather than the physical aspect is protective in relation to onset of dementia.
The findings argued for the necessity to distinguish between different ratings and landscape types instead of using unitary preference measures and generalized data when studying landscape preference.
Unitary step events are counted and converted to relative step-frequency by dividing the unitary step count by the total number of unitary steps.
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