The role of conceptualization and operationalization in the use of secondary data

M. Kwiatkowska, F. Pouw
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Abstract

With the recent advancements in data mining and availability of large data repositories, a vast amount of collected data are reused as secondary data sources. Although the use of secondary data provides many new opportunities for knowledge discoveries, it requires a careful analysis of the primary research process, namely, the original purpose, conceptualization and operationalization of the variables, and the specific context of data collection. This paper focuses on the interpretation of the secondary data as the evidence of existence or non-existence of real-world phenomena. Our discussion is based on the extended fuzzy logic approach, FLe, proposed by Lotfi Zadeh for the modeling of real-world problems. We demonstrate the necessity of an explicit model for the conceptualization and operationalization process using real-life examples from ecological and medical research.
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概念化和操作化在使用辅助数据中的作用
随着数据挖掘的最新进展和大型数据存储库的可用性,大量收集的数据被重用为辅助数据源。虽然二手数据的使用为知识发现提供了许多新的机会,但它需要对主要研究过程进行仔细分析,即原始目的,变量的概念化和操作化以及数据收集的具体背景。本文的重点是解释作为存在或不存在的现实世界现象的证据的二手数据。我们的讨论是基于Lotfi Zadeh提出的用于现实世界问题建模的扩展模糊逻辑方法。我们展示了一个明确的模型的必要性概念化和操作过程中使用现实生活中的例子从生态和医学研究。
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