杜波依斯早期社会学中的定量研究

IF 1.6 3区 社会学 Q2 ETHNIC STUDIES Du Bois Review-Social Science Research on Race Pub Date : 2023-12-13 DOI:10.1017/s1742058x23000206
Jordan A. Conwell, Kevin Loughran
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引用次数: 0

摘要

新杜波依斯社会学最近澄清、提升并综合了杜波依斯的社会学贡献。我们认为,对杜波依斯的研究方法进行更系统和详细的研究,着眼于其当代适用性,可以进一步加强这一学术体系。在这里,我们开始这项努力,持续关注杜波依斯在20世纪之交(1898-1902)一个富有成效和说明性的时期对定量数据和方法的使用。这为现有的杜波依斯学术的一个子集增加了一定程度的深度和特异性,该子集更普遍地将定量调查作为杜波依斯混合方法三角测量的社会科学方法的一个方面。我们详细介绍了杜波依斯如何以及为什么在他的种族研究中发展了一种归纳的、理论生成的方法。乍一看,这种取向似乎与当代定量社会学格格不入,后者目前倾向于演绎理论检验和因果推理。我们证明,杜波依斯的定量方法促使社会学家回归到探索性的、描述性的和理论上生成的定量研究,这些研究基于对跨越几代人、制度和地理聚集水平的第一手和第二手数据的创造性综合。这些数据可以评估种族内部和种族之间的比较,以及种族与阶级、性别、年龄、地点和时间等因素的交集。我们的研究也将杜波依斯作为历史先例,纳入了当前关于量化在种族/种族主义和其他系统性不平等轴线的社会科学研究中的生产性作用的辩论中。
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Quantitative Inquiry in the Early Sociology of W. E. B. Du Bois

A New Du Boisian Sociology has recently clarified, elevated, and synthesized Du Bois’s sociological contributions. We argue that more systematic and detailed study of Du Bois’s research methodologies, with an eye towards their contemporary applicability, can further strengthen this body of scholarship. Here we begin this effort with sustained attention to Du Bois’s use of quantitative data and methods during a productive and illustrative period around the turn of the twentieth century (1898–1902). This adds a level of depth and specificity to a subset of existing Du Bois scholarship that has more generally noted quantitative inquiry as one aspect of Du Bois’s social-scientific approach of mixed-methods triangulation. We detail how and why Du Bois developed an inductive, theoretically generative approach to his research on race. This orientation appears, at first glance, to be a misfit for contemporary quantitative sociology, which is currently skewed towards deductive theory testing and causal inference. We demonstrate that Du Bois’s quantitative methodology invites sociologists to return to exploratory, descriptive, and theoretically generative quantitative research based on creative syntheses of primary and secondary data that span generations and levels of institutional and geographic aggregation. Such data can, among other possibilities, assess within- and between-race comparisons and intersections of race with factors including class, gender, age, place, and time. Our study also enters Du Bois, as historical precedent, into current debates regarding quantification’s productive role, if any, in social science research on race/racism and other axes of systemic inequality.

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来源期刊
CiteScore
1.90
自引率
7.70%
发文量
16
期刊最新文献
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