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A TETRAD-based Approach for Theory Development in Information Systems Research

机译：信息系统研究中基于TETRAD的理论发展方法

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摘要

Theory development and theory testing are two primary processes in social science research. Statistical methods and tools are used in various stages of these processes. Information systems researchers have employed many statistical methods and tools for theory testing. However, very few statistical approaches are known to help researchers with theory development. In this paper, we introduce TETRAD as a powerful approach to aid researchers in developing and discovering new theoretical relationships. We illustrate the TETRAD approach by re-analyzing data from two articles published in premier information systems journals. The results from the previous examples demonstrate that TETRAD is a useful tool for uncovering potential theoretical relationships, especially when prior knowledge of underlying theory bases is lacking. We demonstrate that TETRAD is an effective and powerful statistical tool that can assist researchers in the iterative process of theory development.
机译：理论发展和理论检验是社会科学研究的两个主要过程。统计方法和工具用于这些过程的各个阶段。信息系统研究人员已采用许多统计方法和工具进行理论测试。但是，很少有统计方法可以帮助研究人员进行理论发展。在本文中，我们将TETRAD介绍为一种强大的方法，以帮助研究人员开发和发现新的理论关系。我们通过对主要信息系统期刊上发表的两篇文章中的数据进行重新分析来说明TETRAD方法。先前示例的结果表明，TETRAD是发现潜在理论关系的有用工具，尤其是在缺乏基础理论基础的先验知识的情况下。我们证明TETRAD是一种有效而强大的统计工具，可以协助研究人员进行理论发展的迭代过程。

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