Theory: When analysts adopt surrogates of actors' political preference
s for purposes unanticipated by the inventors of those measures, they
often stretch (but not explicitly assess) the range of reliability and
validity. Hypotheses: The consequences pushing measures beyond their
intended purposes may significantly impact research findings, as well
as the conclusions drawn from those findings. Methods: ''Methodologica
l audit'' of measures developed by Segal and Cover (1989) to represent
the political preferences of justices on the United States Supreme Co
urt. Mainly regression analysis using the Segal/Cover scores and vote
data drawn from the United States Supreme Court Judicial Database. Res
ults: Analysts would be well advised to weigh carefully whether adequa
te tests have been performed before adopting others' preference measur
es for their own research. More specific conclusions are: 1) scholars
should invoke the Segal/Cover scores in the set of circumstances indic
ated by their developers: aggregated individual-level decisions in civ
il liberties cases; and 2) students of the judicial process who seek t
o explore phenomena other than aggregated individual-level voting in c
ivil Liberties cases ought to give serious thought to devising new sur
rogates for judicial preferences.