Description: 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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EAN: 9780367758264
UPC: 9780367758264
ISBN: 9780367758264
MPN: N/A
Book Title: Understanding China through Big Data: Applications
Item Length: 23.4 cm
Number of Pages: 258 Pages
Language: English
Publication Name: Understanding China Through Big Data: Applications of Theory-Oriented Quantitative Approaches
Publisher: Taylor & Francis Ltd
Publication Year: 2021
Subject: Sociology, Classical Studies
Item Height: 234 mm
Item Weight: 662 g
Type: Study Guide
Author: Yunsong Chen, Fei Yan, Guangye He
Subject Area: Regional History
Item Width: 156 mm
Format: Hardcover