评估药物属性重要性

V. Chinburapa, L. Larson
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引用次数: 0

摘要

本研究考察了在不同情境卷入和任务复杂性水平下,由联合分析和过程追踪技术得出的重要性测度之间的收敛效度。进行了一项随机设计,其中48名医生表示对假设药物的偏好。Mouselab程序用于监测受试者的搜索顺序、搜索信息的比例和花费的时间比例。Spearman系数用于评估重要性度量之间的一致程度。结果表明,联合效用权重和处理措施之间的一致性较低。情境涉入的变化不影响其相关性,但任务复杂性的变化会影响其相关性。高复杂性任务的相关性高于低复杂性任务。聚合效度低的原因可能是信息获取与整合过程不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Drug Attribute Importance
This study examined the convergent validity between importance measures derived from conjoint analysis and from process-tracing techniques under differing levels of situational involvement and task complexity. A randomized design was conducted in which a sample of 48 physicians indicated preferences for hypothetical drugs. The Mouselab program was used to monitor subjects' search order, proportion of information searched, and proportion of time spent. Spearman's coefficient was used to assess the level of agreement between importance measures. Results indicated a low level of agreement between conjoint utility weights and processtracing measures. The correlations were not affected by changes in situational involvement but were affected by changes in task complexity. Higher correlations were found in the highcomplexity task than in the low-complexity task. The low convergent validity may be attributed to the different processes involved in information acquisition and integration.
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