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Designing research with in-built differentiated replication

机译：使用内置的差异复制设计研究

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Replication is central to normal scientific investigation. This fact is widely accepted in business disciplines. However, many researchers are uncertain how to build replication into their own research designs and this may explain why they do not routinely adopt this practice. The purpose of this paper is to re-state the importance of replication; assert that replication is an integral component of the initial research design; highlight the special importance of differentiated replication and the use of many sets of data in establishing empirical generalizations; and provide an example offering practical guidance for business researchers. The example concerns the buying behavior of Chinese consumers-a topic of considerable academic and managerial interest because of the growing economic and strategic importance of China. The examples compare empirical findings across multiple dimensions of a pre-specified 240-cell data matrix which consists of content spatial and temporal dimensions. Findings concerning buyer behavior are consistent across the majority of cells-both the patterns of consumer behavior (scope) and the systematic deviations (indicating potential boundary conditions). The example of replication as an integral component of the original research design establishes the validity of the findings, in terms of their robustness, and signals the importance of replication, which should stimulate further validation by independent researchers.
机译：复制是正常科学研究的关键。这个事实在商业学科中被广泛接受。但是，许多研究人员不确定如何将复制构建到自己的研究设计中，这也许可以解释为什么他们不常规采用这种做法。本文的目的是重申复制的重要性。断言复制是初始研究设计不可或缺的组成部分；强调差异复制的特殊重要性以及在建立经验概括时使用许多数据集的重要性；并提供一个为业务研究人员提供实践指导的示例。该示例涉及中国消费者的购买行为-由于中国在经济和战略上的重要性日益提高，因此具有相当的学术和管理兴趣。这些示例比较了由内容空间和时间维度组成的预先确定的240单元数据矩阵在多个维度上的经验发现。关于购买者行为的发现在大多数单元中都是一致的，即消费者行为模式（范围）和系统偏差（表明潜在的边界条件）。作为原始研究设计不可或缺的组成部分，复制的例子就其可靠性而言确立了研究结果的有效性，并表明了复制的重要性，这应激发独立研究人员的进一步验证。

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