González-Díaz Romel Ramón, Bustamante-Cabrera Gladys Inés
Centro Internacional de Investigación y Desarrollo-CIID, Monteria 230001, Colombia.
Latin American Bioethics Committee of the Centro Internacional de Investigación y Desarrollo-CIID, Monteria 230001, Colombia.
Entropy (Basel). 2021 May 18;23(5):627. doi: 10.3390/e23050627.
Social phenomena in their simplest form share infinite complexities and relationships, and by interacting with other entities, their levels of complexity become exponentially inexplicable and incomprehensible. Using a single form of study in complex phenomena could be insufficient, and new forms of analysis should be opened that allow for observing the multidimensionality of study problems from integrative perspectives. The emergence of research using mixed methods attempts to reconcile these methodologies through integration, configuring a stage of interconnection between research paradigms that cause cuts and leaks that may or may not be consistent with the study's object. At the time of integration, vices can be created by specific value and subjectivity judgments, with investigative diffraction being an alternative to extend integration through data fracture and redirecting the object of study. This work proposes a Predictive Sequential Research Design (DISPRE) for complex social phenomena, which uses fuzzy logic as a tool to solve the information biases caused by the investigative diffraction of each methodological approach as a strategy to capture, explain, understand and predict the intrinsic complexity of the social entity under study.
最简单形式的社会现象具有无限的复杂性和关系，并且通过与其他实体相互作用，它们的复杂程度会呈指数级增长，变得难以解释和理解。对于复杂现象，使用单一的研究形式可能是不够的，应该开辟新的分析形式，以便能够从综合角度观察研究问题的多维性。混合方法研究的出现试图通过整合来协调这些方法，构建一个研究范式之间相互联系的阶段，这些范式可能会导致与研究对象不一致的割裂和漏洞。在整合过程中，特定的价值和主观性判断可能会产生弊端，而调查衍射是通过数据断裂扩展整合并重新引导研究对象的一种替代方法。这项工作提出了一种针对复杂社会现象的预测性序列研究设计（DISPRE），它使用模糊逻辑作为工具，解决每种方法论方法的调查衍射所导致的信息偏差，以此作为一种策略来捕捉、解释、理解和预测所研究社会实体的内在复杂性。
