Combining complexity-framed research methods for social research

Combining complexity-framed research methods for social research
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结合社会研究的复杂性框架研究方法

DOI:
10.1080/13645579.2021.1946118
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发表时间:
2021
影响因子:
3.3
通讯作者:
Barbrook-Johnson P
Barbrook-Johnson P
中科院分区:
法学3区
文献类型:
--
作者:
Barbrook-Johnson P

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植根于复杂性科学的研究方法在社会研究中越来越受欢迎。然而,它们并不普遍,并且有潜力为社会研究和方法提供更充分和一致的价值。其中一个原因是,这些方法经常单独使用,或者只与传统的社会研究方法一起使用。我们试图支持和促进复杂性框架方法在社会研究中的组合使用,通过系统地回顾哪些以复杂性语言框架的方法(不包括传统的社会研究方法)已经组合,如何以及为什么。我们这样做是为了明确最先进的组合,并考虑差距和潜在的新组合。我们发现了许多不同方法一起使用的例子,其中有很好的模拟方法。尽管这些方法和对复杂性的兴趣已经存在了很长时间,但大多数例子都是最近几年才出现的。我们确定了四种类型的组合,七个目的,并考虑了未来的方向。
Research methods with roots in complexity science are increasingly popular in social research. However, they are not widespread and have potential to deliver value more fully and consistently to social research and methodology. One reason for this is that methods are often used alone, or only with traditional social research methods. We attempt to support and catalyse the use of complexity-framed methods in combination in social research, by systematically reviewing which methods framed in the language of complexity (not including traditional social research methods) have been combined, how, and why. We do this to make clear the state-of-the-art of combinations and to consider gaps and potential new combinations. We find many examples of different methods used together, with simulation methods well-represented. Most examples appear in recent years despite the methods, and interest in complexity, being around much longer. We identify four types of combination, seven purposes, and consider future directions.
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