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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

            36                           THE IMPORTANCE OF COMMON METRICS

                   addressing  issues  like  relationships.  The  latter  may  not  be  very
                   important to policy makers, scientists, or academics, but in fact
                   is becoming very significant in the day-to-day practice of public
                   services.
               •   Indicators are essentially feedback systems to guide decision mak-
                   ing in public policy, but there is a risk to linking indicators too
                   closely  to  policy  decisions.  Social  science  needs  consistent  and
                   comparable time-series data, whereas the needs of government are
                   more variable.
               •   A judgment about indicators needs to address both their construc-
                   tion  and  their  use.  Are  they  used  to  constrain  fluid  actions  and
                   decision making by governments and to assist competitive actions?
                   Are they assisting effective judgment on conditions of considerable
                   uncertainty and fuzzy data?
               •   Both  data  and  the  institutions  to  use  them  are  needed.  Having
                   authoritative  public  bodies  make  judgments  using  standardized
                   metrics in transparent ways is as important as having the metrics
                   themselves,  and  just  as  important  as  the  recognition  that  all  of
                   these have, in Mulgan’s words, “limited half lives.”

               Mulgan ended by sharing his belief that even the best indicator will be
            useful for a time but will then need to replaced and updated, because that
            is simply the nature of social knowledge.

                            STANDARDIZED MEASUREMENT

               In his presentation, Robert Pollak raised concerns about the premature
            application of standards and the notion that standardization will make for
            successful  science,  rather  than  the  idea  that  successful  science  generates
            standardization.  He  gave  a  number  of  examples  to  illustrate  his  point.
            Family  structure,  in  this  example  marital  status,  provides  an  excellent
            opportunity to explore the use of standardization, he said, posing several
            questions. Does marital status mean that one is legally married? Are cohabi-
            tants included? Are couples who are legally married but not living together
            included?  Does  the  definition  of  marital  status  used  as  an  independent
            variable  affect  the  outcome  when  researchers  try  to  predict  educational
            outcomes, for example, whether a child will finish high school?
               Taking this examination of factors and standardization further, Pollak
            raised  the  question  of  what  it  means  to  complete  high  school.  In  other
            words,  should  people  with  general  educational  development  (or  GED)
            credentials  be  treated  as  high  school  graduates?  Citing  work  by  James
            Heckman on labor market effects demonstrating clearly that GED is not
            equivalent to high school graduation, Pollak concluded that the question







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