社会科学中的数据分析:细节如何?

G. Ball
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引用次数: 139

摘要

从历史上看,统计似乎一直是社会科学数据分析的主要模式。现在看来,在很大程度上,我们仍然在使用数字计算机出现之前发展起来的统计方法,而这些方法现在只是被转移到数字计算机上进行计算。在本文中,我们试图证明有一类技术比传统的分析统计技术更适合于面向数字计算机的能力。我们认为,这些技术能够考虑社会科学数据中的细节,也就是说,将数据中描述的个体联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data analysis in the social sciences: what about the details?
Historically, statistics seems to have been the primary mode of data analysis in the social sciences. It would appear at this time that we are still, to a large extent, using statistical methods developed prior to the advent of the digital computer and that these are now just transposed bodily onto a digital computer to perform the calculations. In this paper we attempt to demonstrate that there exists a class of techniques more suitably oriented toward the capabilities of the digital computer than are conventional analytic statistical techniques. We maintain that these techniques are capable of considering details in social sciences data, that is, relating the individuals described in the data.
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