The innovation and challenge of quantitative social research methods in the era of big data
July 13, 2022 09:20 Source: "China Social Sciences", July 13, 2022, Issue 2447 Author: Lin Juli Ren

The arrival of the era of big data not only profoundly affects people's understanding of the social world,and also provides great possibilities for the innovation of quantitative social research methods。Sociology research combines innovation with big data,It will be possible to reshape the paradigm of traditional sociological quantitative research,Open up new research fields and directions。

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With the development of modern information technology,We have entered the "Digital Era"。The emergence of big data and wide use of traditional social research,The development and innovation of a given quantitative research method have brought a significant impact。

First,Big data gives us a new understanding of social research data。Sociology research has been affected by empiricalist methodology for a long time,Pay great importance to quantitative data,and the traditional quantitative data is mainly based on the survey data of individual samples。This type of structured data, although it is inferred and interpreted under representative large sample conditions,But the influence of factors such as investigation and research conditions,Sample scale always has limitations。The emergence of big data completely changed the nature of the data,Let us have a new understanding of the data of social research。

bet365 best casino games The so -called "big data",Usually related to cloud computing,It is a data that uses massive numbers as the main form of non -structured and semi -structured.,Its main features include a large amount of data、Diverse data types、High timeliness、Wide application value, etc.。Matthew Salganik pointed out in "Computational Sociology",Big data is conducive to social research. The prominent feature is massiveness、persistent and non -reactivity。These characteristics are not available in traditional quantitative data。Even if there are enough samples of previous social research,But the quantity is also very limited。Using big data can easily obtain hundreds of thousands of or more analyzed data information。As Salgnik said: "The increase in massive big data means that we have entered a world with extremely rich behavior data from a world that lacks behavioral data。”

2,Big data expands social research data acquisition.。Traditional quantitative social research data mainly depends on the special laws such as questionnaire surveys or experimental research,Limited method and restricted by multiple research conditions。Enter the era of big data,The way we get data is greatly expanded。At present, social big data exists in various fields of social activities,More and more institutions specializing in big data,Data storage、Digging and development technology is also constantly improving。This provides us with great convenience for us to obtain and use big data。

Difficulties encountered in social research in bet365 Play online games the era of big data,Already different from traditional society research, often trapped in data acquisition,More and more researchers feel that data or information is too much,Facing problems that are difficult to choose。

third,Big data has greatly developed quantitative research methods。Due to the continuous development and progress of quantitative social research methods in recent decades,But there are always certain limitations。With the rapid development of modern computer technology and "cloud computing",Analysis method and technology constantly updated,Therefore, it has greatly enriched and developed quantitative social research methods。For example,Based on the Internet、Data mining and analysis technology of the Internet of Things has been widely used。So,Social science research on the basis of new computing technology and methods,Therefore, it has greatly enriched and developed quantitative social research methods,New computing sociology and traditional quantitative sociology are very different。It can also be said,The development of big data and related new technologies and the combination of social science research,Formed a computing social science with interdisciplinary cross -disciplinary,This provides directions and possibilities for the innovation of quantitative social research methods。

  Reasonable use of big dataPromoting the integration and innovation of social research methods

The emergence of big data brings unprecedented opportunities to quantitative social research,At the same time, it also brought great changes and challenges。Bet365 app download Some scholars even refer to the rise of computing social sciences related to big data as a "paradigm revolution" for social research。At the same time,This development has also aroused the fierce debate of the academic community about big data,Some relative views appeared。In fact, since the development of empiricalism,The debate between quantitative research and qualitative research has not stopped,The current dispute about big data is its new expression form。Of course,We have entered a new era of digitalization,Therefore, new understanding of related issues needs to be formed。

First,Social research should treat big data with an open and positive attitude。Currently we have entered the digital information society stage,Digitalization of information in various fields has become a common development trend,This requires social research to treat big data with a more open and positive attitude。In this sense,Mastering the data will have "Speaking right"。Quantitative social research cannot be separated from data,More inseparable from big data。Of course,Big data is both conducive to the nature of social research,There are aspects that are not conducive to research。For example,Salganik pointed out that its adverseity includes the incompleteness of the data、It is difficult to get、Not representative、Algorithm Questions、"Dirty Data" and sensitivity。

Although there are certain problems in big data and its applications,But this is not enough to affect the current social science research on the attention bet365 Play online games and use of big data。Victor Mel-Schionberg and Kenis Cookye in "Big Data Age: Life、Great Change of Work and Thinking "pointed out:" The huge value to be released in the era of big data makes our concept and method of choosing big data is no longer a balance,but the inevitable change to the future。"This requires us to pay attention to big data,Accept and use big data in an open and specialized manner。

Next,Social research also needs to use big data in a reasonable way。Use big data,Not only should we deepen the understanding of it,At the same time, it also needs innovation in actual research ideas and design,Pay attention to the relationship between the following two aspects。

The first is to handle the purpose of the purpose of social research and the relationship between tools。Basic procedures for quantitative study of traditional sociological quantitative research are pre -proposed research assumptions,Make quantitative data according to the research framework designed by myself for analysis。This interpretation research logic is mainly "theoretical orientation"。and the new social research logic of big data -based social research seems to be "data -driven",That is,but directly obtained from other ways。From this,Some scholars have pointed out that big data may not be able to meet the research purpose of researchers,It is even limited to the analysis of the data itself; or there is a great limitations of "real life is cut" and "social situations are ignored"、Multiple missing subjectivity of social research。Although there may be similar problems,But we should also start bet365 Play online games from research needs,Pay attention to the selection and use of data on data。We need to pay attention to the use of big data,But you can't be completely trapped in big data。

Second, the relationship between traditional quantitative social research and big data methods。In recent years, there has been some new changes in the research paradigm,Integration and innovation of research methods has become an important development direction。Based on the development innovation of sociology in China,As Chen Yunsong pointed out in the article "Macro Shock of Contemporary Sociology Research","Macro Quantitative Sociology" based on big data is at the forefront of contemporary Chinese sociology research.,It is important to expand the territory of the discipline and build a socio -speaking language system with Chinese characteristics。

This certain amount of sociological research brought by big data is turning to a strong trend in remittance,Not only does it impact the research method of traditional sociology,Integration and innovation through research methods is shaping the paradigm of quantitative social research,to open up new research areas and directions for sociological research。So,We need to pay attention to big data development and use,Integration and innovation through research methods,Promoting the continuous development of Chinese sociology。

  (Author Unit: Department of Sociology, Shandong University)

Editor in charge: Zhang Jing
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