Proponents of numerical conjoint measurement generally
assume that the technique’s goodness-of-fit measure
will detect an inappropriate composition rule or
the presence of random response error. In this paper a
number of hypothetical and real preference rank orderings
are analyzed using both axiomatic conjoint measurement
and numerical conjoint measurement to demonstrate
that this assumption is not warranted and may
result in a distorted scaling.
Nickerson, Carol A & McClelland, Gary H. (1984). Scaling distortion in numerical conjoint measurement. Applied Psychological Measurement, 8, 183-198. doi:10.1177/014662168400800207
Nickerson, Carol A.; McClelland, Gary H..
Scaling distortion in numerical conjoint measurement.
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