Department of Information Technology, Analytics, and Operations, Mendoza College of Business, University of Notre Dame.
Am Psychol. 2018 Oct;73(7):899-917. doi: 10.1037/amp0000190. Epub 2018 Feb 22.
The potential for big data to provide value for psychology is significant. However, the pursuit of big data remains an uncertain and risky undertaking for the average psychological researcher. In this article, we address some of this uncertainty by discussing the potential impact of big data on the type of data available for psychological research, addressing the benefits and most significant challenges that emerge from these data, and organizing a variety of research opportunities for psychology. Our article yields two central insights. First, we highlight that big data research efforts are more readily accessible than many researchers realize, particularly with the emergence of open-source research tools, digital platforms, and instrumentation. Second, we argue that opportunities for big data research are diverse and differ both in their fit for varying research goals, as well as in the challenges they bring about. Ultimately, our outlook for researchers in psychology using and benefiting from big data is cautiously optimistic. Although not all big data efforts are suited for all researchers or all areas within psychology, big data research prospects are diverse, expanding, and promising for psychology and related disciplines. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
大数据为心理学提供价值的潜力是巨大的。然而,对于普通的心理学研究人员来说,追求大数据仍然是一项不确定和有风险的事业。在本文中,我们通过讨论大数据对心理学研究可用数据类型的潜在影响,解决了这些数据带来的好处和最显著的挑战,并为心理学组织了各种研究机会,来解决这种不确定性。我们的文章得出了两个核心观点。首先,我们强调大数据研究工作比许多研究人员意识到的更容易获得,特别是随着开源研究工具、数字平台和仪器的出现。其次,我们认为大数据研究的机会是多种多样的,不仅在适合不同的研究目标方面存在差异,而且在它们带来的挑战方面也存在差异。最终,我们对使用和受益于大数据的心理学研究人员的前景持谨慎乐观的态度。尽管并非所有的大数据工作都适合所有的研究人员或心理学中的所有领域,但大数据研究前景在心理学及相关学科中是多样化的、不断扩大的和有希望的。(APA,2018 年,所有权利保留)。