Advancing scientific inquiry through data reuse: Necessary condition analysis with archival data

IF 3.6 Q1 BUSINESS, FINANCE
Jan Dul, Erik van Raaij, Andrea Caputo
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引用次数: 0

Abstract

Abstract This article discusses the importance of reusing existing data in research. In addition to reuse data for replication of earlier findings and for answering extended or new research questions, we propose a third application of data reuse: studying the phenomenon from an alternative causal perspective. We focus on the reuse of data with a necessity causal perspective (“if not X, then not Y”) as employed in necessary condition analysis (NCA). Such reuse of data offers additional insights compared with those obtained from the conventional probabilistic causal perspective (“if X, then probably Y”) as employed in regression analysis. NCA is gaining recognition in various fields, including strategic management. Reusing data for conducting NCA is an efficient way to get new causal insights. We provide recommendations on how to use NCA with existing data and emphasize the importance of transparency when reusing data.
通过数据重用推进科学探究:档案数据的必要条件分析
摘要本文讨论了在研究中重用现有数据的重要性。除了重复使用数据来复制早期的发现和回答扩展或新的研究问题外,我们还提出了数据重用的第三种应用:从另一种因果角度研究现象。我们将重点放在必要条件分析(NCA)中使用的必要因果角度(“如果不是X,那么不是Y”)的数据重用上。与在回归分析中使用的传统概率因果观点(“如果X,那么可能Y”)相比,这种数据的重用提供了额外的见解。NCA正在各个领域获得认可,包括战略管理。重用数据进行NCA是获得新的因果洞察的有效方法。我们就如何对现有数据使用NCA提供了建议,并强调了重用数据时透明度的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.70
自引率
10.70%
发文量
70
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