| ,Regression analysis based on the variable transformation (Ⅳ)——the conjoint analysis method of the data with preference scores[J].SICHUAN MENTAL HEALTH,2019,32(3):209-215 |
| Regression analysis based on the variable transformation (Ⅳ)——the conjoint analysis method of the data with preference scores |
DOI：10.11886/j.issn.1007-3256.2019.03.004 |
| English keywords:Attribute Factorial design Orthogonal design Preference score Conjoint analysis |
| Fund projects:国家高技术研究发展计划课题资助(2015AA020102) |
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| The purpose of this paper was to introduce the data structure of the preference data and its corresponding analysis method called the conjoint analysis. The situations which could produce such kind of the data mentioned before were similar to " the factorial design or orthogonal design of the multi - factors" . The value of the measurement variables, however, could be affected by the subjectivity or preference of the valuators. The conjoint analysis model was set up under the condition of the assumption that the " Part- Worth Utility or Level - Worth Utility" could be simply superimposed. When the actual problem was conformed the assumption mentioned before, the analyzed results was correct, otherwise the conjoint analysis should be used with caution. The other statistical model should be selected when it was necessary. The paper showed that detailed steps of performing the conjoint analysis by using the TRANSREG procedure in SAS through a real example. |
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