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The quality of ladders generated by abbreviated hard laddering

机译:缩写硬梯形生成的梯形质量

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摘要

Laddering is a qualitative measurement technique embedded in means-end chain theory. The fundamental premise of this approach is that consumers learn to associate attributes (A) of products with particular consequences (C), and that these consequences are important because they relate to personal values (V) held by the individual. The A-C-V associations are, therefore, often seen as a representation of the basic drives that motivate consumer behaviour. Laddering is used to elicit these associations from the respondent's cognitive structure, in the form of A-C-V ladders. There are two methods of generating these ladders: Soft laddering (conventional, semi-structured interviews, where the natural flow of speech of the respondent is restricted as little as possible), and Hard laddering, which forces the respondent to produce ladders in a pre-determined sequence. Unfortunately, either procedure is time consuming and requires a considerable physical and mental effort from the respondent. Recently, a method of shortening a laddering survey while controlling the amount of information lost has been proposed in the literature. This article defines and examines the quality of ladders obtained with the abbreviated procedure. It shows that the abbreviated laddering method is likely to lose only a handful of high-quality ladders that might have otherwise been produced by the respondents with the full set of questions.
机译:阶梯是一种嵌入在均值末端链理论中的定性测量技术。这种方法的基本前提是,消费者学会将产品的属性(A)与特定后果(C)相关联,并且这些后果很重要,因为它们与个人持有的个人价值(V)相关。因此,A-C-V关联通常被视为激励消费者行为的基本驱动力的代表。梯形图以A-C-V梯形图的形式从受访者的认知结构中得出这些关联。生成这些梯形图的方法有两种:软梯形图(常规,半结构化访谈,应尽可能限制受访者的自然言语交流)和硬梯形图,这会迫使受访者在预先准备好的梯子中制作梯形图。确定的序列。不幸的是,这两种方法都很耗时,并且需要被访者付出相当大的体力和精神努力。最近,在文献中提出了一种在控制信息丢失量的同时缩短梯形图调查的方法。本文定义并检查了通过缩写过程获得的梯子的质量。它表明,简化的梯形图方法可能只会丢失少数高质量的梯形图,而这些梯形图可能是由受访者在回答完整问题时制作的。

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