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WOULD YOU LIKE SOME MORE? VOLUNTARY CHOICE SETS AND PROGRESSIVE INCENTIVE ALIGNMENT IN CONJOINT ANALYSIS

机译:你想要更多吗?志愿选择集和逐步激励对准在联合分析中

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A weakness of analyzing choices in conjoint analysis is that choosing an alternative from a set of products conveys less information than, e.g., rating or ranking each one of them. Thus, for a robust estimation of preferences it is essential to collect a multitude of choices. However, increasing the number of choice sets is not trivial because respondents react negatively to longer surveys and after a certain threshold, are more likely to (1) abandon the survey, which decreases response rates and increases costs, (2) make more errors or answer randomly, which results in higher error variance; or (3) adopt simpler, cognitively less demanding decision strategies (e.g., concentrating on a subset of attributes), leading to biased estimates and observed utility evolution (Liechty, Fong, and DeSarbo 2005; Pocheptsova et al. 2009; Swait and Adamowicz 2001). Although every researcher and practitioner who uses conjoint analysis must make this important trade-off between estimation accuracy and consumer fatigue, little is known about how many choice sets can be established without invoking respondent fatigue.
机译:在联合分析中分析选择的弱点是从一组产品选择替代方案,其较少的信息比例如,评级或排名在一起。因此,对于对偏好的稳健估计,必须收集多种选择是必要的。然而,增加选择集的数量并不是微不足道,因为受访者对更长的调查以及在一定阈值之后反应,更有可能(1)放弃调查,这降低了响应率并提高成本,(2)造成更多错误或增加成本随机答案,导致更高的错误方差;或(3)采用更简单,认知苛刻的决策策略(例如,集中在属性子集),导致偏见估计和观察到的公用事业演化(Liechty,Fong和Desarbo 2005; Pocheptsova等,2009; Swit和Adamowicz 2001 )。虽然使用联合分析的每个研究人员和从业者都必须在估计准确性和消费者疲劳之间进行这一重要的权衡,但对于在没有调用受访者的疲劳的情况下可以建立多少选择集合。

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