Toward improved methods for measurement of utility: Automated repair of errors in elicitations
Toward improved methods for measurement of utility: Automated repair of errors in elicitations
复制标题
DOI：
10.1177/0272989x02239649
复制
发表时间：
2003-01-01
影响因子：
3.6
通讯作者：
Rupnow, M
中科院分区：
文献类型：
--
作者：
Lenert, LA;Sturley, A;Rupnow, M
本研究探讨了使用自动化的计算机协议，以纠正公用事业引出一个常见的错误，即评分的健康状态，更大的损害比一个较小的损害更可取的影响。作者在563名互联网使用者的样本中研究了该协议。结果显示，错误是常见的（17%的评级），但通常被成功修复（个人谁只犯了1或2个错误有75%的机会修复它们）。修复错误的个体的价值观与没有明显错误的个体的价值观相似。相比之下，拒绝修复错误的人在最佳健康状态中的得分较低，而在最差健康状态中的得分较高。结果表明，修复程序是成功的，并列入个人谁不能修复不合逻辑地有序评级的效用分数可能会有偏见的平均效用估计。
This study examines the effects of use of an automated computer protocol to correct a common error in utility elicitations-namely, scoring of a health state with a greater impairment as being more desirable than one with lesser impairment. The authors studied the protocol in a sample of 563 members of the Internet-using public. Results revealed that errors were common (17% of ratings) but were typically successfully repaired (individuals who made only 1 or 2 errors had a 75% chance of repairing them). The values of individuals who repaired errors were similar to those without apparent error. In contrast, individuals who refused to repair errors had lower scores for the best health state in the series and higher ones for the worst health state. Results suggest that the repair procedures were successful and that inclusion of utility scores from individuals who fail to repair illogically ordered ratings may bias estimates of mean utilities.