An examination of conditional violations of axioms for additive conjoint measurement
1985
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
An examination of conditional violations of axioms for additive conjoint measurement
Authors
Published Date
1985
Publisher
Type
Article
Abstract
Axiomatic conjoint measurement methodology offers
a useful approach for evaluating different composition
rules as potential models for fitting the components
of multidimensional stimuli. The usefulness of
this methodology has been somewhat hindered in applied
settings because of a lack of an adequate error
theory for testing the fit of data to the axioms. This
paper presents the results of an attempt to provide a
basis for an examination of errors of the conjoint measurement
axioms. Specifically, this paper describes a
means of evaluating the fit of an additive conjoint
measurement model to a three-factor design. For each
of the critical axioms of axiomatic conjoint measurement,
the proportions of errors that would be expected
by chance for different levels of satisfaction of the
simple independence property are examined. The results
indicate that violations of these axioms occur
much less often than intuitively might be expected.
Error proportion tables based on monte carlo analyses
are presented to aid in comparisons with empirically
obtained results. It is shown that two types of violations
of the axioms can be defined and used to differentiate
between systematic and unsystematic errors in
fallible data.
Keywords
Description
Related to
Replaces
License
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Nygren, Thomas E. (1985). An examination of conditional violations of axioms for additive conjoint measurement. Applied Psychological Measurement, 9, 249-264. doi:10.1177/014662168500900303
Suggested citation
Nygren, Thomas E.. (1985). An examination of conditional violations of axioms for additive conjoint measurement. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/102114.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.