eBook: Understanding China through Big Data: Applications of Theory-oriented Quantitative Approaches (DRM PDF)
 
電子書格式: DRM PDF
作者: Yunsong Chen, Guangye He, Fei Yan 
系列: Routledge Advances in Sociology
分類: Research methods: general ,
Regional studies ,
Society & culture: general ,
Social theory ,
Asia ,
China  
書城編號: 20652909


售價: $507.00

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製造商: Taylor and Francis
出版日期: 2021/07/15
頁數: 258
ISBN: 9781000412345
 
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商品簡介
Chen, He and Yan present a range of applications of multiple-source big data to core areas of contemporary sociology, demonstrating how a theory-guided approach to macrosociology can help to understand social change in China, especially where traditional approaches are limited by constrained and biased data.In each chapter of the book, the authors highlight an application of theory-guided macrosociology that has the potential to reinvigorate an ambitious, open-minded and bold approach to sociological research. These include social stratification, social networks, medical care, and online behaviours among many others. This research approach focuses on macro-level social process and phenomena by using quantitative models to statistically test for associations and causalities suggested by a clearly hypothesised social theory. By deploying theory-oriented macrosociology where it can best assure macro-level robustness and reliability, big data applications can be more relevant to and guided by social theory. An essential read for sociologists with an interest in quantitative and macro-scale research methods, which also provides fascinating insights into Chinese society as a demonstration of the utility of its methodology.
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Yunsong Chen 作者作品表

Causal Effects of Social Capital: Labor Markets and Beyond (2022) (Paperback)

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