Same Question, Different Answers?

Felix Speckmann, Tobias Wingen
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引用次数: 1

Abstract

Abstract: Psychological scientists increasingly study web data, such as user ratings or social media postings. However, whether research relying on such web data leads to the same conclusions as research based on traditional data is largely unknown. To test this, we (re)analyzed three data sets, thereby comparing web data with laboratory and online survey data. We calculated correlations across these different data sets (Study 1) and investigated identical, illustrative research questions in each data set (Studies 2–4). Our results suggest that web and traditional data are not fundamentally different and usually lead to similar conclusions, but also that it is important to consider differences between data types such as populations and research settings. Web data can be a valuable tool for psychologists when accounting for such differences, as it allows for testing established research findings in new contexts, complementing them with insights from novel data sources.
同样的问题,不同的答案?
摘要:心理学家越来越多地研究网络数据,如用户评分或社交媒体帖子。然而,依赖这些网络数据的研究是否会得出与基于传统数据的研究相同的结论,在很大程度上是未知的。为了验证这一点,我们(重新)分析了三个数据集,从而将网络数据与实验室和在线调查数据进行了比较。我们计算了这些不同数据集之间的相关性(研究1),并在每个数据集中调查了相同的说明性研究问题(研究2-4)。我们的研究结果表明,网络数据和传统数据并没有根本的不同,通常会得出相似的结论,但也表明,考虑数据类型(如人口和研究环境)之间的差异是很重要的。在解释这些差异时,网络数据对心理学家来说是一个有价值的工具,因为它允许在新的背景下测试既定的研究结果,并与来自新数据源的见解相补充。
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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