Trait Preference Coefficients that scale economic weights

Respondent trait preferences (observed preference) were calculated using the 1000minds survey. The expected preference is calculated from the monetary worth of the trait improvement offered in the survey. The observed preferences were divided by the expected preferences to get trait preference coefficients. The trait preference coefficients were then analysed using a principal component analysis followed by a bootstrapped (100,000) k-means (k = 4) clustering to determine trait preference clusters. The mean trait preference coefficient per cluster was then calculated

受访者特质偏好（观测偏好）通过1000minds调查计算得出。预期偏好则基于调查中提供的特质提升的货币价值进行测算。将观测偏好除以预期偏好，即可得到特质偏好系数。随后对特质偏好系数开展主成分分析，再采用100000次自助抽样的k-means（k=4）聚类以确定特质偏好集群，最终计算得到每个集群的平均特质偏好系数。