Abstract A method is presented which facilitates the practical construction of designs for stated choice experiments in which the choice sets are pairs of partial profiles and where, for a potentially large number of two-level attributes, the main effects and two-factor interactions are to be estimated. Although partly heuristic, the approach has a sound theoretical basis and can be used to generate utility-neutral designs for the multinomial logit model which possess a high statistical efficiency. Applying the method neither requires expert knowledge of design theory nor specialized software and is illustrated with several examples.

中文翻译：

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设计部分配置文件选择实验的一种实用方法，它有两种方法来估计许多两级属性的主要影响和相互作用

摘要提出了一种方法，该方法有助于针对指定的选择实验进行实用的设计构建，其中选择集是成对的局部轮廓，并且对于潜在的大量二级属性，主要影响和两因素相互作用是被估计。尽管部分启发式，但该方法具有良好的理论基础，可用于为具有高统计效率的多项式logit模型生成与实用程序无关的设计。应用该方法既不需要设计理论方面的专业知识，也不需要专门的软件，并通过几个示例进行说明。