Because an individual differences conjoint model was estimated, it is possible to test the
correlations of the estimates of the utilities derived from the two methods. These
correlations are calculated on the basis of 8 subjects × 16 unique combinations, or 144
distinct cases. The correlations include:
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A1
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A2
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A3
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A4
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A5
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A6
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A7
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A8
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Method Correlation
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-0.70
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-0.68
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-0.59
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-0.73
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-0.64
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-0.60
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-0.84
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-0.12
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With one exception, attribute 8, all correlations are of the approximate magnitude that
we would anticipate.
We suspect that part of the problem with the poor across-method correlation for
attribute number 8 stems from the lack of precision in the original formulation of the
attribute ranking task. As originally formulated, subjects were asked to rank the overall
importance of the attribute, not the importance of their choice on the attribute. Using
the tea example presented earlier, subjects were asked how important temperature was, not
how important their desire for hot tea was. The distinction is a small one, but one we
believe is important.
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