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The Importance of Common Metrics for Advancing Social Science Theory and Research: A Workshop Summary
  http://www.nap.edu/catalog/13034.html

            38                           THE IMPORTANCE OF COMMON METRICS

            there is no possible response to this kind of question without an underlying
            model and theory.
               Continuing in the context of disability, Pollak delineated three possible
            models or theoretical constructs. One model, which he attributed to Dennis
            Fryback, is an appeal to utility that attempts to identify what people actu-
            ally value. Another method entails using the theory of disability to predict
            the probability of nursing home entry within the next year, on which an
            index of disability could be based. His final example was an index that
            predicted the medical costs associated with an individual over his or her
            lifetime. All of these approaches are different and imply different weights,
            items, and methods of calculating disability. Pollak reiterated that, without
            an accepted theoretical framework, there is no touchstone for resolving any
            of the practical problems that arise in index construction.
               Pollak emphasized that his focus is on nontrivial standardization, for
            which the measurement choices are really about choosing what is impor-
            tant, commenting that this is essentially a scientific question. With non-
            trivial standardization, the choices between measurement protocols convey
            different information. In his view, measurement without theory often means
            measurement  using  implicit  theory.  Implicit  theory  is  better  when  made
            explicit, so it can be openly debated. He ended by saying that science is
            better done in the open.
               Nancy  Cartwright  expanded  on  Pollak’s  presentation  by  delineating
            three separate avenues by which theory contributes to measurement. The
            first she described as “coming up with the representation” using “heavy
            theory,” with a lot of assumptions in the theory that are very well worked
            out, along with a measure that gives an upper and a lower bound in con-
            structing  the  particular  index.  A  second  way  is  using  theory,  or  at  least
            empirical regularities that connect the intended quantity with the actual
            procedures employed in carrying out measurement. This is done to ensure
            that those procedures are measuring the intended concept, especially when
            a quantity is measured indirectly via the components of an index, and even
            more especially when the components of this index are aggregated into a
            single number. The third way is distinguishing among different concepts
            going  under  the  same  name  across  a  variety  of  theories.  Proper  precise
            scientific definition and explicit procedures are required when the emphasis
            is on making predictions about future behavior or forecasting the effect
            of policies. Different studies serving different purposes prescribe different
            definitions and procedures, yet they often use the same word. It is important
            to keep clear which of these more exact concepts is causally connected with
            the outcomes of interest.
               Mulgan proposed that, in addition to a different theoretical founda-
            tion of a construct, it is important to consider the existence of different
            philosophical lenses. For example, he delineated three perspectives related







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