Some missing data patterns for multidimensional scaling
1983
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Some missing data patterns for multidimensional scaling
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1983
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Abstract
Most tasks used to gather information for multidimensional
scaling analysis are quite difficult for people to
perform. An experiment was run to determine if systematic
limits existed in such data collection situations
and to determine the form that these limitations assumed.
The solution obtained from a complete ordering
of stimuli to targets, using the conditional rank order
paradigm, was compared to solutions obtained
from certain partial orders, constructed from the complete
orders by setting certain rankings equal. The partial
orders were found to reproduce the complete order
solution quite accurately when about one half of the
information was eliminated. The information eliminated
about similar items produced more differences
in the obtained solutions than did the information
about dissimilar stimuli. Suggestions about efficient
techniques for gathering information for multidimensional
scaling purposes are discussed.
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Some missing data patterns for multidimensional scaling
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Thompson, Paul. (1983). Some missing data patterns for multidimensional scaling. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/101624.
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