Quantitative Methods

Alice Barth, Jörg Blasius
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Abstract

: Our article discusses recent developments in quantitative data collection and multivariate statistical analysis in quantitative social research. German-speaking authors have contributed heavily to the field of survey methodology and to discussions on the quality of data and the integration of survey data and digital trace data. We begin by discussing new developments in data collection. Afterwards we present a classification scheme for multivariate methods of analysis and discuss the state of the art in the most important areas, namely, regression, classification, clustering, and scaling. In terms of longitudinal data,we review recent contributions to the analysis of panel data, time series, event histories, and sequences. Further focal points are methods for the analysis of multilevel data and the opportunities and challenges arising from an increasing use of big data in the social sciences.
定量方法
我们的文章讨论了定量社会研究中定量数据收集和多元统计分析的最新进展。讲德语的作者在调查方法学领域和关于数据质量的讨论以及调查数据和数字痕迹数据的整合方面作出了重大贡献。我们首先讨论数据收集方面的新发展。之后,我们提出了一个多变量分析方法的分类方案,并讨论了最重要领域的最新进展,即回归、分类、聚类和标度。在纵向数据方面,我们回顾了最近对面板数据、时间序列、事件历史和序列分析的贡献。进一步的重点是多层次数据的分析方法,以及社会科学中越来越多地使用大数据所带来的机遇和挑战。
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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